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Open Access Article
1 - A new method based on texture analysis for the classification of automatic detection of breast microcalcifications of mammography images
Zahra Maghsoodzadeh Sarvestani Jasem Jamali mhdi taghizadeh Mohammad h FatehiMammography is a diagnostic technology used in screening programs to find breast cancer early. By using two techniques for image enhancement and highlighting breast tissue microcalcifications for the desired areas by regional ROI based on fuzzy system and also Gabor fil MoreMammography is a diagnostic technology used in screening programs to find breast cancer early. By using two techniques for image enhancement and highlighting breast tissue microcalcifications for the desired areas by regional ROI based on fuzzy system and also Gabor filtering method, the study's objective was to assess the viability of automatic separation of images of breast tissue microcalcifications and to assess its accuracy. The decision tree classification algorithm is used to categorize the clusters of breast tissue microcalcifications after the clusters have been identified. The samples that are thought to have microcalcification are next highlighted and masked for segmentation, and in the last step, tissue properties are extracted. Then, it was possible to distinguish between benign and malignant forms of segmented ROI clusters with the aid of an artificial neural network (ANN). The results of this work show a high accuracy of 93% and an improvement of sensitivity of 95%, which shows that the presented solution can be reliably applied to detect breast cancer.. Manuscript profile -
Open Access Article
2 - A Futurology Model of International Marketing Strategies Alignment in Downstream Sector of Iran Petroleum Industry
Iman Mohammadali Tajrishi Sina Nematizadeh Hassan Esmailpur Ghasemali BazaeeThis study is struggled to reply this question; the existence of the strategic alignment in the international marketing domain would caused export performance improvement. After that a decision support system (DSS) about export strategy alignment is presented. This rese MoreThis study is struggled to reply this question; the existence of the strategic alignment in the international marketing domain would caused export performance improvement. After that a decision support system (DSS) about export strategy alignment is presented. This research from the view of objective is a casual research and because of the research presents a model in the strategic level for export strategies, it is a developmental research. The study performed in Iran’s petrochemical companies which had export performance. The level of analysis is organization. The method of data gathering for export performance is external secondary data (Industrial Management Org. reports about IMI500 and the financial statement of the companies) and for determining the degree of strategic alignment the strategic reference points (SRP's) theory is applied. The result shows that: (1) Higher export strategies alignment caused increasing in the export performance, (2) Fuzzy measurements of strategic alignment and export performance caused a more accurate statement for reality, (3) In this research the utility of the fuzzy model to present a DSS for management has approved. Manuscript profile -
Open Access Article
3 - Topology Control in Wireless Sensor Network using Fuzzy Logic
Samaneh Nazari Dastjerdi Hamid Haj Seyyad Javadi -
Open Access Article
4 - A Near Optimal Approach in Choosing The Appropriate Physical Machines for Live Virtual Machines Migration in Cloud Computing
Seyedeh Roudabeh Hosseini Sepideh Adabi Reza Tavoli -
Open Access Article
5 - Type-2 Fuzzy Logic Approach To Increase The Accuracy Of Software Development Effort Estimation
Zahra Barati Mahdi Jafari Shahbazzadeh Vahid Khatibi Bardsiri -
Open Access Article
6 - Coastal Water Level Prediction Model Using Adaptive Neuro-fuzzy Inference System
OLATUNJI ADIGUN OLUSOLA OYEDELE -
Open Access Article
7 - Decentralized Fuzzy-PID Based Control Model for a Multivariable Liquid Level System
Olatunji Adigun -
Open Access Article
8 - Chaotic dynamic analysis and nonlinear control of blood glucose regulation system in type 1 diabetic patients
Saeid Khajehvand Seyed Mahdi Abtahi -
Open Access Article
9 - Performance Evaluation of the Effect of Optimally Tuned IMC and PID Controllers on a Poultry Feed Dispensing System
Jibril Bala Olayemi Olaniyi Taliha Folorunso Tayo Arulogun -
Open Access Article
10 - Presentation of a Fuzzy Model for Assessment of Corporate Social Responsibility
Ahmad Abolhasaniranjbar Amirhassan Zarei Nima Eskandarinia Mehrdad BozorginejadIn this paper, a fuzzy model was designed for assessment of corporate social responsibility based on four principles of Denison including society, environment, ethic and Financial responsibility. The introduced model is comprised of five phases. At the first phase, a fu MoreIn this paper, a fuzzy model was designed for assessment of corporate social responsibility based on four principles of Denison including society, environment, ethic and Financial responsibility. The introduced model is comprised of five phases. At the first phase, a fuzzy system was designed that its inputs included four factors of social responsibility and its output included score of corporate social responsibility. At the second phase, the inputs and outputs after Classification, were converted to fuzzy numbers and derivation rules were explained at third phase. At fourth phase, defuzzification was performed and at the fifth phase, the designed model was tested. result of model testing indicates that the presented model has a high validity. Ultimately, the social responsibility of research institute of petroleum industry of iran was calculated using the design model. Population of this study consisted of 531 staffs and academic board members of research institute. Questionnaire was used to collect the data. For this purpose, a questionnaire was designed based on four principles of Denison and its validity and reliability was assessed and confirmed. The results show that social responsibility score of research institute with the membership grade 0.844 is highly. Manuscript profile -
Open Access Article
11 - Urban Carpet, the Introduction of Folding Urbanism
Siamak Panahi Seyyed Mostafa Mokhtabad Amraey Arsalan Karimi Khiavi This study has concentrated on the role of folding on urbanism and introduced the "urban carpet" as the introduction of folding urbanism. Folding philosophy is derived from Deleuze theories in rhizome and anti-oedipus based on Leibniz’s mathematics. This th More This study has concentrated on the role of folding on urbanism and introduced the "urban carpet" as the introduction of folding urbanism. Folding philosophy is derived from Deleuze theories in rhizome and anti-oedipus based on Leibniz’s mathematics. This theory appeared in architecture by Eisenman and later, in the macro-scale and urban design was introduced by Hadid. Today, she presents her manifesto of folding genesis as "urban carpet" that already has determined in landscape design by James Wines. Hadid based on "unity in diversity" philosophy with the complexity of folding mathematics tries to design a city with post-modern feminist literature, so that provide the anti-oedipus city with its own harmonies. This study has made an effort to indicate how architects criticize and use the folding stream in urbanism as they call it "urban carpet" and for this purpose spontaneously, we analyzed some famous works which their base concept was about folding movement. The conclusion of the study is that the "urban carpet" can be the introduction and some referent of folding urbanism and although, has been successful in creation of harmony in the macro-scale and bird view, but in the human-scale architecture and discourse of the event architecture is not successful. Manuscript profile -
Open Access Article
12 - A Method for AHP Fuzzy by Applying "Zade" Extension Principle
mohammad ali jahantighi reza kargarThe hierarchy analysis process is one of the most comprehensive systems designed for decision making with multiple criteria, since this technique provides the possibility of formulating the problem in a hierarchical manner, as well as the possibility of considering diff MoreThe hierarchy analysis process is one of the most comprehensive systems designed for decision making with multiple criteria, since this technique provides the possibility of formulating the problem in a hierarchical manner, as well as the possibility of considering different quantitative and qualitative criteria. The process involves various options in decision making and the ability to analyze the sensitivity of the criteria and sub-criteria. In addition, it is based on a paired comparison that facilitates judgment and computation. This model starts with the identification and prioritization of decision elements. These elements include goals, criteria and possible options, the process of identifying these elements and the relationship between them ultimately leads to the creation of a hierarchical structure. But in many cases, some or all of the data are fuzzy decision making, so it is necessary to consider uncertainty in such a decision model in the decision model. This article tries to take a fresh look at the issue of fuzzy hierarchy analysis. This view is influenced by the flaws in the fuzzy methods and group decision-making methods such as Delphi. Manuscript profile -
Open Access Article
13 - Truth Values and Connectives in Some Non-Classical Logics
P. Safari S. SalehiThe question as to whether the propositional logic of Heyting, which was a formalization of Brouwer's intuitionistic logic, is finitely many valued or not, was open for a while (the question was asked by Hahn). Kurt Gödel (1932) introduced an infinite decreasing ch MoreThe question as to whether the propositional logic of Heyting, which was a formalization of Brouwer's intuitionistic logic, is finitely many valued or not, was open for a while (the question was asked by Hahn). Kurt Gödel (1932) introduced an infinite decreasing chain of intermediate logics, which are known nowadays as Gödel logics, for showing that the intuitionistic logic is not finitely (many) valued. Now we know that the propositional intuitionistic logic is infinitely many valued (with a countably many logical values). In this paper we provide another proof for this result of Gödel, from the perspective of Kripke model theory. Švejadr and Bendova (2000) proved that in Gödel fuzzy logic the conjunction and implication are not definable by the rest of the propositional connectives (while disjunction is definable by conjunction and implication). In this paper, we show that disjunction is not definable by implication and negation in Gödel fuzzy logic; two proofs, one by Kripke models and one by fuzzy semantics, are provided for this new theorem. Manuscript profile -
Open Access Article
14 - Modeling and Comparison of Fuzzy and Non-Fuzzy Multi-Objective Evolution Optimization Portfolios in Tehran Stock Exchange
Mohammad Fallah Hadi Khajezadeh Dezfuli Hamed NozariSelecting the optimal stock portfolio is one of the most important issues in the field of financial research, which tries to choose the optimal combination of assets in order to create maximum utility for the investor, Given that the return on securities in the real wor MoreSelecting the optimal stock portfolio is one of the most important issues in the field of financial research, which tries to choose the optimal combination of assets in order to create maximum utility for the investor, Given that the return on securities in the real world is often vague and inaccurate, one of the most important investment challenges is uncertainty about the future. In this paper the problem of selecting and optimizing securities portfolios with different modeling goals has been solved and compared. The designed models have considered both the nature of the portfolio selection issue and the considerations considered by the shareholder in the portfolio selection. The uncertainty quality of the future return of a given portfolio is estimated using fuzzy LR numbers, while its return torques are measured using possibility theory. The most important purpose of this paper is to solve the problem and compare portfolio selection models with simultaneous optimization of two, three, and four objectives. For this purpose, the NSGA-II genetic algorithm is used and the mutation and intersection operators are designed specifically to generate possible solutions to the cardinality constraint of the problem. Finally, the efficiency and performance of the models in case of using fuzzy logic and not using it have been compared and it has been determined that the use of fuzzy logic and possibility theory leads to the formation of portfolios with higher performance and higher efficiency. Manuscript profile -
Open Access Article
15 - Determination of Interest Rate in Iran by using Fuzzy logic Method
Alireze Kazerooni Pooyan Kiyani Zana MozaffariInterest rate is one of the most important monetary policy instrument in an economy. The changes in interest rate leads to changes in other key economic variables like cost of production, Consequently changes in output and price level. However, like the other developing MoreInterest rate is one of the most important monetary policy instrument in an economy. The changes in interest rate leads to changes in other key economic variables like cost of production, Consequently changes in output and price level. However, like the other developing countries, lack of the advanced financial markets and governmental determination of interest rate , the market interest rate can't be observered in Iran. For this purpose, the main objective of this study is to estimate market interest rate index by using information on proxy variables such as inflation rate, rate of return on housing and amount of liquidity in economy during 1981-2012 by using fuzzy logic method. The empirical result indicates that interest rate has shown a lot of fluctuations over time. The maximum (78/7) and minimum (22/4) interest rate index has been in years 1995 and 1985 respectively. Manuscript profile -
Open Access Article
16 - Day of the Week Effect in Stock Returns by using Bootstrapping Fuzzy- GARCH Regression
فاطمه بزازان شمس اله شیرین بخش ماسوله سولماز صفریThis paper propounds to examine the day of the week effect on the returns of dailystock price entire index, in Tehran Stock Exchange market during 1383 to 1388.Various approaches have been presented for investigation about calendar effects onstock returns. We apply " Fu MoreThis paper propounds to examine the day of the week effect on the returns of dailystock price entire index, in Tehran Stock Exchange market during 1383 to 1388.Various approaches have been presented for investigation about calendar effects onstock returns. We apply " Fuzzy regression with triangular membership function".This approach's base is, the fuzzification of the dummy variables through fuzzy logic.In fact, fuzzy logic regression enables us to capture the impression and nonlinearitiesin finance and human behavior which are main characteristics in finance industry andfurthermore, avoids the classification of dummy variables to values of one and zero, aswe do in the traditional statistical and econometric methodology. The paper concludesthat using fuzzy regression will lead to a positive effect on the returns on Sunday andnegative returns on Tuesday Manuscript profile -
Open Access Article
17 - The Application of Fuzzy Logic in Social Science Research (A Fuzzy Analysis of Social Development in Tehran)
Hadi Barghamadi Farid Nahid Ata’ollah Bitaraf -
Open Access Article
18 - A Fuzzy Logic Approach to Evaluation of Customer Satisfaction
Hodjat HamidiThe method of customer satisfaction performance evaluation based on the fuzzy comprehensive evaluation to provide the customer satisfaction performance evaluation of the enterprise with theoretical. In order to increase the customer satisfaction system implementation su MoreThe method of customer satisfaction performance evaluation based on the fuzzy comprehensive evaluation to provide the customer satisfaction performance evaluation of the enterprise with theoretical. In order to increase the customer satisfaction system implementation success rate in enterprise، enhance competitiveness and management level of the enterprise, enable the enterprise to better adapt to fierce market competition, an in depth study on effect evaluation of the customer satisfaction system is conducted. For improve the customer satisfaction performance needs to do a scientific and comprehensive evaluation. The evaluation on customer satisfaction performance is a complex systemic project. In order to do a scientific evaluation fuzzy comprehensive algorithm is used by this paper. In this study, a new methodology of generating customer satisfaction models using a fuzzy approach is proposed.The results show that our proposal can effectively manage logistics customer service, enabling managers to identify targets and formulate competitive strategies to enhance customer satisfaction. Manuscript profile -
Open Access Article
19 - Presenting Fuzzy Approach on Customer Satisfaction Measurement Case Study Roozaneh Dairying Company
M. A. Abdolvand A. MohammadniaTending to customer rightly overtax, Organizations gain new customers and keep their satisfation, ther fore based on created comptition, organization and companise should seeking suitable ways to customer’s absorption and mainenance. Thus it is vita MoreTending to customer rightly overtax, Organizations gain new customers and keep their satisfation, ther fore based on created comptition, organization and companise should seeking suitable ways to customer’s absorption and mainenance. Thus it is vital for business success and it not succeed unless customer satisfaction measument and continous protection. In the competitive conditions, the satisfaction and customers loyalties are urgent need for profitability. Furthermore, the satisfaction measuremen available method are up crisp range, whereas loyalty measurement indexes are fuzzy, unclear and verbal which beable to say totally, measurement in fuzzy logic is more efficient.The paper main goal is customers satisfaction measurement in Roozaneh Dairying Company which can use from research results all of manufacturer and service companies, further, applied goals of this research are: Customers Satisfaction, Fuzzy measuring effective factors on creating Roozaneh dairying Customers Satisfaction, prioritize effective factors on Roozaneh dairying customer satisfaction, comparing and comprehensive survey of results of Fuzzy logic and classic logic techniqes, ducumenting practical solution for practing effective factors on keeping customers and creating customers satisfaction. Four hypothesises in the research to goal achievement are: 1- There is a meaningful correlation between price and customer satisfaction. 2- There is a meaningful correlation between quality and customer satisfaction. 3- There is a meaningful correlation between Accessibility and customer satisfaction. 4- There is a meaningful correlation between customer complains and customer satisfaction. After using satistical techinqes and analysing datas in both Fuzzy and classic methods by SPSS software, resulting to: to pass all of hypothesises, finally, seggested some offers for future researches. Manuscript profile -
Open Access Article
20 - A Fuzzy Logic Approach to Evaluation of Customer Satisfaction
H. HamidiThe method of customer satisfaction performance evaluation based on the fuzzy comprehensive evaluation to provide the customer satisfaction performance evaluation of the enterprise with theoretical. In order to increase the customer satisfaction MoreThe method of customer satisfaction performance evaluation based on the fuzzy comprehensive evaluation to provide the customer satisfaction performance evaluation of the enterprise with theoretical. In order to increase the customer satisfaction system implementation success rate in enterprise، enhance competitiveness and management level of the enterprise, enable the enterprise to better adapt to fierce market competition, an in depth study on effect evaluation of the customer satisfaction system is conducted. For improve the customer satisfaction performance needs to do a scientific and comprehensive evaluation. The evaluation on customer satisfaction performance is a complex systemic project. In order to do a scientific evaluation fuzzy comprehensive algorithm is used by this paper. In this study, a new methodology of generating customer satisfaction models using a fuzzy approach is proposed.The results show that our proposal can effectively manage logistics customer service, enabling managers to identify targets and formulate competitive strategies to enhance customer satisfaction. Manuscript profile -
Open Access Article
21 - Measuring Customer Satisfaction Using Fuzzy Logic (Case Study: Bank Saderat Automated Teller Machine)
R. Radfar F. Hossein Zadeh Lotfi A. KhalilooThe main purpose of this research is to determine effective indexes of customer satisfaction from ATM service and to determine the customer satisfaction level from each index using fuzzy data.After collecting indexes from different sources and using the D MoreThe main purpose of this research is to determine effective indexes of customer satisfaction from ATM service and to determine the customer satisfaction level from each index using fuzzy data.After collecting indexes from different sources and using the Delphi method, the importance of each index was approved by bank expert. A questionnaire divided in to two parts, expectation and performance, was used to collect data. To determine the level of customer satisfaction in each index, we made three rules bases in separate of perception and expectation. If customer expectation is very high in both the bank and customer indexes, then customer expectation from satisfaction is very high. Manuscript profile -
Open Access Article
22 - Designing Time Driven Activity Based Costing System via Fuzzy Logic Approach (Case Study of Yas E Fars Glaze Company)
Mohammad Namazi Mandana ZareThis research is aimed to apply three different approaches toward costing (namely traditional, TDABC, and Fuzzy TDABC) to calculate actual costs in “Lo’ab Yas Fars Co.”. Three main hypotheses were stated for this research, that each one is involved com MoreThis research is aimed to apply three different approaches toward costing (namely traditional, TDABC, and Fuzzy TDABC) to calculate actual costs in “Lo’ab Yas Fars Co.”. Three main hypotheses were stated for this research, that each one is involved comparing methods for calculating actual cost two by two. Required data for assess in comparing these hypotheses are gathered through library and field research. These data were related to Year 1391, (Persian calendar) and inserted in all three models. To confirm or reject each hypothesis, both parametric and non-parametric statistical tests were used. The results confirmed the hypotheses 1 (claiming that there are significant differences between results of the traditional and TDABC systems) and 3 (claiming there are significant differences between the results of TDABC and fuzzy TDABC); however, a significant difference was not found between the traditional and fuzzy TDABC systems (hypothesis no. 2). Generally, it can be concluded that TDABC system supported by equations and temporal stimulants is able to calculate the actual cost with more precision and accuracy. Manuscript profile -
Open Access Article
23 - Evaluating the Effect of Tax Auditor’s Talent Strategies on the Green Tax Sustainability Consequences: Atanassov's Intuitive Fuzzy Logic Approach
Abdolreza Faraji neda nafari Yousef Mohamadi MoghadamOne of the important aspects in tax sustainability that has not been paid much attention in past studies is the strategies of talent acquisition of tax auditors that in this study, based on Atanasov's intuitive fuzzy logic approach, an attempt has been made to identify MoreOne of the important aspects in tax sustainability that has not been paid much attention in past studies is the strategies of talent acquisition of tax auditors that in this study, based on Atanasov's intuitive fuzzy logic approach, an attempt has been made to identify the most effective green tax sustainability consequences by screening tax auditor’s talent strategies. This study is developmental in terms of methodology and it is a mixed research in terms of data collection type. In this research, in the qualitative part, based on meta-composite analysis processes, it was tried to first identify the researches related to the two concepts of tax auditor talent strategies and green tax sustainability consequences, and then determine the research components and themes based on the critical evaluation scale. In addition, in the continuation of the qualitative part, Delphi analysis used to determine the limit of theoretical consensus. In the quantitative part, with the aim of determining the most effective talent search strategy for tax auditors in the most favorable consequences of green tax sustainability, intuitive fuzzy evaluation used based on Atanasov's logic. In this research, 12 tax audit research experts at the university level participated in the qualitative part and 25 tax auditors filled in the matrix questionnaires in the quantitative part. The results in the qualitative part indicate the existence of 5 themes as tax auditor’s talent strategies and 4 components as the green tax sustainability consequences. The results in the quantitative part also showed based on the fuzzy Vicor analysis process, the most important parameter of the research topics (talent finding strategies of tax auditors) is the function of professional maturity. It was also found that the most desirable consequence of green tax sustainability is the reduction of environmental pollution based on the effect of the theme of professional maturity. The obtained result shows that the companies, based on the improvement of the functions based on the professional maturity of the tax auditors, can understand that by strengthening their operational processes based on upgrading the level of technology and waste recycling, they should be responsible for reducing environmental pollution. Take action and this process can gradually become a part of the social norms of the companies in front of the beneficiaries. Manuscript profile -
Open Access Article
24 - The presentation of energy models in programs of socio-economic development
Mohammadreza Moghaddam -
Open Access Article
25 - Mysticism and Fuzzy Thinking
Hādi WakiliThe article, tries to explore mysticism from a fuzzy thinking angle ofview and analyze it in terms of epistemic and social pathology. To dothis end, it undertakes first to define the notion and historicalbackground of the term "fuzzy" and then proceeds to describe thefu MoreThe article, tries to explore mysticism from a fuzzy thinking angle ofview and analyze it in terms of epistemic and social pathology. To dothis end, it undertakes first to define the notion and historicalbackground of the term "fuzzy" and then proceeds to describe thefuzzy worldview. It then goes on to expound, what is meant by "fuzzylogic" explaining and proving its theoretical principles andfundamental theorems. While introducing the "fuzzy notion" andanalyzing its relation to categories such as "knowledge" and "hikma",the author goes on to discuss the relation between mysticism on theone hand and fuzzy logic and thinking on the other. Accordingly.mysticism enjoys naturally such characteristics that are in harmonywith corresponding ones in fuzzy thinking. For this reason, mysticismshould be considered as a quasi- fuzzy thinking. Manuscript profile -
Open Access Article
26 - The application of geomorphic agents in locating urban waste (Case Study: Mahshahr)
مریم ایلانلوSolid waste is an inevitable human life and production of these waste materials in the quantities and qualities of the greatest environmental problem of our time is different. To reduce the negative impacts of waste, use of tools and technology necessary to find a suita MoreSolid waste is an inevitable human life and production of these waste materials in the quantities and qualities of the greatest environmental problem of our time is different. To reduce the negative impacts of waste, use of tools and technology necessary to find a suitable place to bury it seems. The aim of this study was to locate waste Mahshahr is using fuzzy logic model. Nyaza to collect data about topographic maps, geological, hydrological and climatic Nasl aerial photograph and land types were used in landfill and such. Accordingly, the layers away from rivers, residential areas, roads, wind direction, slope, geomorphology, land use and ARC GIS 10.2 was prepared.was. And finally North East city of Mahshahr was considered the most appropriate municipal solid waste disposal area. Manuscript profile -
Open Access Article
27 - Comparison of the Statistical Regression and Fuzzy Methods for Estimating Sediment Load for Telvar River
Baharak Motamedvaziri Hasan Ahmadi Mohammad Mahdavi Forood SharifiEstimation of rivers sediment load is one of the most important problems for designof hydraulic structures, investigating water quality, conserving fish habitate, estimatingerosion and determining watershed management effects.There is two metheod for estimating sediment MoreEstimation of rivers sediment load is one of the most important problems for designof hydraulic structures, investigating water quality, conserving fish habitate, estimatingerosion and determining watershed management effects.There is two metheod for estimating sediment load: empirical and regressionmethods. Existence of numerous empirical methods for estimation of river sedimentload, a wide range of calibration coefficients shows that a suitable analytical orempirical method does not yet exist to accurately estimate the sediment load.Therefore, the measured discharges and sediment concentrations in hydrometrystations are statistically analyses for an accurate estimation of sediment loads in rivers.In usual statistical methods a power function is generally fitted on the data sets of flowand sediment discharge and thus the total sediment load could be calculated using thisfunction. These methods are not able to recognize and separate the specific datameasuring conditions. Therefore, they are not only able to accurately estimate thesediment load, but also can not show the temporal variation of sediment loads. In spiteof this problems, researcher are using Artificial Intelligence methods such as FuzzyLogic, nowadays.In this study, the measured suspended sediment load at hydrometry stations ofTelvar River is analyzed using USBR and FAO methods (usual statistical methods).Furthermore, Sediment suspended load are estimated with a model developed based onFuzzy Logic rules. Then the results of these mothods are compared. This researchstudy has shown that the temporal variation of sediment loads can be analyzed using afuzzy method. Also the, results obtained using the fuzzy method in comparison withthe corresponding values obtained using the usual statistical methods shows a bettercorrelation with the observed values. In all stations the fuzzy method estimated thesediment loads between ones obtained using statistical methods. Manuscript profile -
Open Access Article
28 - Locate and determine the scope of the development of Koohdasht using Fuzzy Logic and GIS
Hojjat allah pashapour Mostafa Tavakoli Nagme Abolfazl Noori Elnaz RezaeiLocate a process by which a user can be assigned to specific criteria and according toavailable resources, the perfect place to be determined.to the world of computer science andsoftware opens, it floats and unlimited space between the numbers one and zero logic andreas MoreLocate a process by which a user can be assigned to specific criteria and according toavailable resources, the perfect place to be determined.to the world of computer science andsoftware opens, it floats and unlimited space between the numbers one and zero logic andreasoning also applies to (Jvrabyan, Mahmoud et al: 1381), can also be used to locate much asvalues between zero and one will take., tilt, of processes (weathering, range, flow anderosion), the risks of failure (destruction of dams, underground water, facilities, etc.) and thusthe effects of environmental hazards on human structures and increased construction costs dueto the risks faced is, except for land located in East and West (the best locations for futurephysical development), there is no other place for physical development Kuhdasht Manuscript profile -
Open Access Article
29 - Management of historical fabric- cultural interference patterns with the help of fuzzy logic using GIS (case study: Shiraz historical fabric)
M.R PoorJafar هادی Rezaei RadIntroduction and aim: Optimization of non-intervention in the historical contexts of aging in the home, and the body is in a historical context. Although the intervention than in the previous periods have been associated with peace and harmony, but the rate of degradati MoreIntroduction and aim: Optimization of non-intervention in the historical contexts of aging in the home, and the body is in a historical context. Although the intervention than in the previous periods have been associated with peace and harmony, but the rate of degradation of the urban tissue is much greater than the predicted protective capacities. Therefore, the correct identification and prioritization of intervention zones between areas of critical need and the appropriate intervention methods to determine patterns and historical fabrics of the equilibrium cycle development and rehabilitation of the tissue. Method: Methodology of research is descriptive- analytical, Boolean logic and fuzzy logic grading criteria in the selection of techniques Spatial Statistic Data in GIS software has been used Findings: The original and main output of this process is to reduce the number of variables used in the model and realistic results. Results for Shiraz historical fabric, three main intervention areas as zones shows that the spatial interference reveals priorities. Conclusions: The output of the model's central weave pattern for absolute protection, the outer margin of the protecting spirit of the historical context of the modernization paradigm, protection pattern transits active in the historical pattern of tissue destruction and renewal and regeneration zones have been proposed. Manuscript profile -
Open Access Article
30 - Locate suitable sites for burial of solid waste management strategies in using Gis (case of study: shooshtar)
Ahmad Poor Ahmed Mohsen Ranjbar Seyed Abbas Rajai Marzieh Hemmati zadehWaste production, including problems of urban management is today one of the major problems of big cities into Has been. In this study, geographical information systems for optimal positioning and management buried urban waste have been used. For this purpose 20 layers MoreWaste production, including problems of urban management is today one of the major problems of big cities into Has been. In this study, geographical information systems for optimal positioning and management buried urban waste have been used. For this purpose 20 layers of information involved in the positioning buried in GIS environment prepared on the layer processing was done and then using AHP, weight through the matrix compared to a couple practices and by the two models of Boolean and fuzzy layers with The final compilation and analysis carried out and appropriate areas of extraction and analysis has been selected points. Study results show that the selected points from a place of highest priority are to bury. Two points due to lack of appropriate follow rock, high groundwater levels, high erodability for burial have not been a priority. Finally ¬ selected location compared with the current location and then determine the appropriate place in the city Shooshtar is presented and management strategies. Manuscript profile -
Open Access Article
31 - Obstacles and strategies of privatization of water and wastewater companies (according to law of correcting articles of forth plan of country development) case study: Tehran
رضا نجف بیگی علیرضا محمودیWater is as a valuable material that is limited and is used for economic sections such as production, infrastructure and services. Urban water distribution network and healthy sewerage system like many other utilities, traditionally was the duties of government. But cur MoreWater is as a valuable material that is limited and is used for economic sections such as production, infrastructure and services. Urban water distribution network and healthy sewerage system like many other utilities, traditionally was the duties of government. But current experiments show that provision of utilities needed wasn't according to expectations. In law of amendment of article of fourth plan of government development, privatization has been chosen as a solution for solving these problems. What are obstacles of privatization of water and wastewater companies (Tehran)? To know obstacles, some descriptive research with applicatory aim was done. In first questionnaire, 39 experts' opinions were taken about (Tehran) water and wastewater industry section which were faculty member of water and sewage department of university in water and electricity industry, and in second questionnaire 15 persons' opinions was taken. The result of research according to current hypothesis is that there are structural, economic, social and cultural, legal, and political obstacles in privatization of water and sewage companies especially in Tehran to private sector. By using dematel and fuzzy logy, economic, “social and cultural” obstacles as effective and other “legal”, “structural” and “political” obstacles are influenced by two former obstacles. So by decreasing economic, social and cultural obstacles because of affecting on other obstacles, changes in direction of decreasing legal, structural and political obstacles would happen. Manuscript profile -
Open Access Article
32 - Tourism Risk Prediction Model Developed Using Fuzzy Approach
امیر رضا خادم حامد صارمیIntroduction and Aim: Prediction is based on the principles of sustainable development and achieving balance in complex and dynamic environments and Tourism is the second most lucrative industry in the world after oil. In this regard, the approach of using fuzzy - neura MoreIntroduction and Aim: Prediction is based on the principles of sustainable development and achieving balance in complex and dynamic environments and Tourism is the second most lucrative industry in the world after oil. In this regard, the approach of using fuzzy - neural model to predict the risk tourism in complex and dynamic environments. To this end, first determine the number of process parameters affecting tourism in the Tehran metropolitan population was identified and then classified as input variables in 10 categories have been considered. Methods: The present study is the combination of documentation methods, analytical and mathematical. In this study, using statistical and research resources in ten of the 29 indicators of the structural, social, financial, health, psychological, cultural, safety, legal, political and terrorism extracted and studied in Tehran Metropolis . After classification, each of the variables using the membership functions of the linguistic variables are converted into qualitative and quantitative variables Results: Each fuzzy variable is entered into the system as a fuzzy neural network. After that, each variable is output as fuzzy inference system. After creating 10-phase network, the network output results as a major factor affecting risk is characterized by a certain weight. Finally, the main risk is calculated by weighting each of the statements concerning the risks Conclusion: Finally, Tehran, as a case study, has been calculated with 50% (average) risk of human-induced tourism. Manuscript profile -
Open Access Article
33 - Use of Fuzzy Logic to Determine the Evapotranspiration in Gonabad City
Hasan Rezaei Gholamabbas Fallah-GhalhariBackground and Objectives: Evapotranspiration are the main component of hydrologic cycle and estimation of the amount of evapotranspiration is important to study the water balance, design the irrigation systems and ultimately plan and manage the water resources to achie MoreBackground and Objectives: Evapotranspiration are the main component of hydrologic cycle and estimation of the amount of evapotranspiration is important to study the water balance, design the irrigation systems and ultimately plan and manage the water resources to achieve the stable development. Evapotranspiration are nonlinear and complicated phenomenon due to requirement for different factors and their interactions. One important step in non-linear system modeling is pre- investigation of inputs to achieve suitable combination of them. Pre-investigation of input data prevents several trial and error steps and helps to understand the most important parameters which affect the phenomenon to be able to modeling the system in an intelligent way. Thereby, this study, has aimed to implement the ability of Fuzzy logic system to estimate Evapotranspiration by using the data from Gonabad weather station in a 21-year period (1993-2014). Material and Methods: To reach this aim, after investigation of available models and different combination of weather information, the final model to estimate Evapotranspiration has been designed. In this model with 20 surface as input and one surface as output or evaporation and transpiration, 50 rules were determined in Mamdani Inference System and the estimated value of Evapotranspiration from the Fuzzy Inference were compared with the results from Fao Penman Monteith (F-P-M). Results and Discussion: Statistical parameters including Root Mean Square Error (RMSE), Main Bias Error (MBE) Coefficient of Determination, Jacovides factor (t) and Sabbagh et al. factor (R2/t) have been used to investigate the efficiency of this model. Comparison of the results from the Fuzzy Model and the results from F-P-M shows a high level of correlation between these two methods indicating the highest level of Evapotranspiration in July (RMSE: 0.08, R2: 0.98, MBE: 0.05, t:0.25 and R2/t: 3.92). Manuscript profile -
Open Access Article
34 - Vulnerability Assessment in Urban Areas against Flood with Fuzzy Logic (case study: Tehran District 22)
Elham Esmaeili Alavijeh Saeid Karimi Fatemehsadat AlavipoorBackground and Objective: In general, in recent decades, due to urban lives on the sidelines of rivers, dwellers of these areas have been the subject of damages caused by flood. The goal of this research is determining the vulnerability level of urban areas against floo MoreBackground and Objective: In general, in recent decades, due to urban lives on the sidelines of rivers, dwellers of these areas have been the subject of damages caused by flood. The goal of this research is determining the vulnerability level of urban areas against flood in order to reducing human and financial losses. Method: For this purpose, Chung fuzzy analysis hierarchical process method (fuzzy AHP) is used due to the higher degree of possibility for weighting criteria of gradient, soil, distance from river, geology, height, land usage, and population. After weighting, the criteria of vulnerability in the environment ARCGIS were fuzzy and ultimately fuzzy operators were used for overlapping layers. Findings: To amend the obtained maps, algebraic multiplication and algebraic addition operators, Gamma 0.9, Gamma 0.7 and Gamma 0.5 operators were used. Obtained map from Gamma 0.7 operator was chosen as the final map of vulnerability for obtaining more appropriate result. Discussion and Conclusion: Therefore, considering the final map, and that the percentage of population density is over 1.07 in the eastern north of the area near Kan river, the possibility of vulnerability is proposed to be high in that area. Also it is possible that unpermitted constructions in Kan and Vardavard River limits will lead to water aggregation and its sudden release in the area, and if the process of unpermitted constructions and population increase is continued in the area, it can be resulted that the possibility of vulnerability against flood may be high in Tehran District 22. Manuscript profile -
Open Access Article
35 - Providing Optimal Model for Municipal Solid Waste Management System Using Genetic Algorithm Based on Fuzzy Logic (Case Study: Tehran City)
monireh ahani reza arjmandi hasan hoveidi Jamal Ghoddousi mohammad reza miri lavasaniBackground and Purpose: In recent years, a variety of models have been used to evaluate the waste management systems in Tehran in order to select the best waste management options. But the problem of the final disposal of waste in Tehran is still one of the issues relat MoreBackground and Purpose: In recent years, a variety of models have been used to evaluate the waste management systems in Tehran in order to select the best waste management options. But the problem of the final disposal of waste in Tehran is still one of the issues related to the environmental management of the metropolis. The purpose of this study is to provide one model for allocating optimal annual quantities of waste to waste management subsystems of Tehran in order to achieve the highest efficiency, reduce costs and increase system revenue.Materials and Methods: In this research, first by referring to the Arad Kooh complex in Tehran and interviewing with experts and using the information recorded in this complex, the required data was collected. Then, an optimal model proposed for allocating optimal annual amount of municipal waste with considering all of limitations to 5 sub-systems of recycling, aerobic compost, anaerobic digestion, incinerator , landfill using genetic algorithm improved by fuzzy logic with the aim of reducing the total cost of the municipal waste management system in the MATLAB environment and its results were analyzed.Findings: The significant results showed with increasing capacity the subsystems with lower cost and more profitability, the system will not necessarily seek to be optimized and optimal amount of waste allocated to each of the subsystems such as recycling, aerobic compost, anaerobic digestion, incinerator and landfill were estimated about 750,000, 960000, 182000, 325000, 780000 tons in each year, respectively.Discussion and Conclusion: According to the results of the optimal model proposed in this study, it is necessary to carefully follow the flow and optimal allocation of waste from the annual production of Tehran to each of the following subsystems: recycling, aerobic compost, anaerobic digestion, incinerator and landfill in order to achieve the high annual efficiency for municipal solid waste management system in Tehran city. Manuscript profile -
Open Access Article
36 - Spatial Analysis of Safe Areas Based of Earthquake Risk Using Multi-Criteria Decision Making and Fuzzy Logic: (The Case Study on District 20 of Tehran)
Ali Hosseini Sayed Amir Fatahiyan Javad MalakanBackground and purpose: Due to vicinity to several active faults, Tehran is treated by earthquake occurrence. The district 20 of Tehran (Rey City), where is situated in north part of central Iran, has been found as the most dangerous district which has the most blighted MoreBackground and purpose: Due to vicinity to several active faults, Tehran is treated by earthquake occurrence. The district 20 of Tehran (Rey City), where is situated in north part of central Iran, has been found as the most dangerous district which has the most blighted areas too. Assessment of earthquake risk and recognize safe and secure regions in district 20 of Tehran is this study’s purpose. Methodology: The study is an applied research model. So in this goal oriented research which has been done by descriptive analytic method, GIS and fuzzy logic and multi-criteria decision-making methods were used. The criteria which are been used in this study have been extracted based on the Delphi method and through snowball technique and based on district’s situation. Results: According to results, the district 20, has achieved a scores of 0.17 to 0.58 out of a fuzzy total score (1 score).It shows its moderate level of safety against prop gable earthquake. In contrast with the main parts of district, there are some regions in the western, southwestern and northern parts of mentioned district where are almost safer and more secure. Discussion and conclusion: Because of various faults and urban blight areas, the district 20 of Tehran is treated seriously by earthquakes. It is really vital to take some actions to implement some essential and fundamental proceedings in order to reduce the probable damages. Manuscript profile -
Open Access Article
37 - Ecotourism site suitability evaluation between Emamzadeh Hashem and Rudbar through the AHP and Fuzzy Logic Techniques in GIS
Behboud Mahjoubi Mohamad Edalatkhah Yadollah Ahmadi DisfaniBackground and objectives: Gilan province is one of the northern provinces of Iran, which due to its unique geographical position, hosts many tourists per annum. The main purpose of the present research is to assess potential areas of ecotourism through a case study in MoreBackground and objectives: Gilan province is one of the northern provinces of Iran, which due to its unique geographical position, hosts many tourists per annum. The main purpose of the present research is to assess potential areas of ecotourism through a case study in the northern freeway of Iran, between Emamzadeh Hashem and Rudbar. Material and Methodology: In this research, ArcGIS 10 was performed to assess potential areas of ecotourism through the analytic hierarchy process (AHP) and index of potential spatial techniques. Furthermore, thematic maps with specific scales in relation to the ecological resources of the study area were prepared to create a spatial database. Afterward the data were analyzed by a systematic method. Findings: Findings indicated that the best score is assigned to the situation with the lowest risk of floods and landslides, the least difficulty and cost of access to the road, the optimal earth slope, the maximum average rainfall, adjacency with freshwater availability such as rivers and lakes as well as access to the potable water, ease of access to the surrounding villages, and has the highest equilibrium temperature and the lowest evapotranspiration. Discussion and Conclusion: Based on the classification and network magnification of images, index values were calculated for each cell, so that those cells with a cultivar above 0.1115 were extracted. These cells are located at the top of the study area which is situated adjacent to the Emamzadeh Hashem included the Ghazian, Liafo, Sheikh Ali Toseh, Mirza Golband, and Radar Pashteh villages. Manuscript profile -
Open Access Article
38 - Prediction of Urban Physical Expansion Using Multi-Criteria Decision Making Model (Case study: Rasht City)
Hamide Aliani Hamed Aliani mohadeseh ghanbari motlagh Kamran RahimiBackground and Objective: The unplanned expansion of cities is one of the most important issues of urban management in developing countries. Because the increasing development of urban society and unplanned constructions have created many changes in their spatial constr MoreBackground and Objective: The unplanned expansion of cities is one of the most important issues of urban management in developing countries. Because the increasing development of urban society and unplanned constructions have created many changes in their spatial construction, which has led to the need for conscious guidance and design of suitable living space for cities. The purpose of this study is to find a set of suitable spatial zones for urban physical development. Method: Rasht city, as the center of Gilan County, has undergone many demographic and urban changes. In order to plan optimally and appropriately for the future urban development of the studied city, 14 ecological and socio-economic criteria were selected based on the opinions of experts and the Delphi method in 2018. Then the weighted linear composition method and network analysis process were used to zoning the ecological potential of the area for urban development. Findings: The results of the implementation of the multi-criteria evaluation method showed that the total area of the region is about 16.12% with very high capability. 29.54% of the region is unsuitable due to ecological conditions and unsustainable social tissue. Discussion and Conclusions: The results of this research can provide more study opportunities for planners and decision-makers to take preventive and controlling factors into strategic decisions. Manuscript profile -
Open Access Article
39 - Assessment the hazard of desertification using fuzzy TOPSIS logic in GIS environment
mohammad hassan sadeghi ravesh Hassan KhosraviBackground and Objective The phenomenon of desertification is one of the serious ecological crises with extensive and long-term natural and human effects. Therefore, executive measures related to desertification control should be based on recognizing the current state o MoreBackground and Objective The phenomenon of desertification is one of the serious ecological crises with extensive and long-term natural and human effects. Therefore, executive measures related to desertification control should be based on recognizing the current state of desertification of lands and its severity. On the other hand, the weakness of methods for measuring the intensity of desertification, always requires the need to provide new and quantitative methods. The need to address methods that can provide zoning based on strong logic and principles and rational theoretical foundations seems necessary in the field of desert management. Material and Methodology: In this paper, it has been tried to do so by using the Fuzzy Topsis method. In this method, after determining and evaluating the effective indices by the fuzzy Delphi method and preparing the layer of work units, the data were fuzzy by the Chen and Huang methods. The fuzzy analysis process was performed on the data. Finally, a normalized fuzzy decision matrix was obtained, which within the framework of this matrix and by TOPSIS method, the intensity of desertification was estimated. Findings: The obtained results showed that, 9.34%, 7.71% and 12.57% of the total study area are in the very high, high and relatively high class of desertification, and Desertification with low (46.57%) and medium (23.81%) has the highest share in the study area, respectively. The quantitative value of desertification intensity for the whole region was 0.262 located in relatively medium or III class. Discussion and Conclusion: The study showed the efficiency and ease of application of fuzzy logic in assessing the intensity of desertification. The results of this study provide the possibility of planning to minimize desertification as a result of development projects, and can create conditions where a balance between development plans and the environment is possible based on the priorities and vulnerability zoning of the study area. Manuscript profile -
Open Access Article
40 - Modeling environmental air quality assessment using fuzzy logic in the Pars Special Economic Energy Zone (Case study: Assaluyeh, Bidkhon and Shirino regions)
Hamid Sarkheil Yousef Azimi Shahrokh RahbariBackground and Objective: Considering the increasing development of gas and oil industries in Pars Gas Complex and consequently the increasing environmental problems, especially impacts on air quality, conducting knowledge-base and efficient studies for assessment and m MoreBackground and Objective: Considering the increasing development of gas and oil industries in Pars Gas Complex and consequently the increasing environmental problems, especially impacts on air quality, conducting knowledge-base and efficient studies for assessment and management of environmental issues in such region are of high importantance. Method: In this study, environmental air quality at the Pars Special Economic Energy Zone was evaluated using fuzzy logic in 2013 and 2014. In contrary to classical crisp logic, fuzzy logic is a highly vaulted logic in which variable vary between 0 and 1. In fuzzy logic, it is possible to assess the quality and environmental risk using qualitative (linguistic) and quantitative variables. Two fuzzy inference systems were constructed respectively based on air quality index (AQI) and Benzene, Toluene, Ethyl Benzene, Xylene and H2S Quality index (BTEXHQI) to obtained the fuzzy air quality index (FAQI) in this study. Weighted rules in fuzzy inference system were calculated based on previous studies, sensitively analysis and environmental expert opinions. Findings: Results show that SO2 and Toluene are the agent pollutant in fuzzy inference systems based on AQI and BTEXHQI, respectively. For instance, fuzzy index of environmental air quality of Assaluyeh was calculated as 201 (very unhealthy) and 173 (unhealthy) in 2013 and 2014. Discussion and Conclusion: The obtained results indicate that quality indexes and environmental risks are being improved as one of the most important achievements of ISO 14001 and HSE management systems. Manuscript profile -
Open Access Article
41 - Site selection for a combined-cycle power plant using Fuzzy AHP and OWA method (Case study: Qazvin Province)
Somayeh Alizadeh Fatemeh Sadat Alavipoor Saeed Karimi Jabar KhalediAbstract Background and Objective: Considering the effects of power plants locations on society, economy and environment, it is important to choose a suitable site for this facility. In order to find a suitable location for the construction of combined-cycle power plant MoreAbstract Background and Objective: Considering the effects of power plants locations on society, economy and environment, it is important to choose a suitable site for this facility. In order to find a suitable location for the construction of combined-cycle power plant, GIS can effectively provide a combination of the required information for site selection. This study aims to identify the most important factors in determining the appropriate place for the construction of combined-cycle power plants. The role and influence of each factor (distance from access roads, altitude, slope of the land, distance from the earthquake-prone areas, distance from surface water resources and distance of the fault lines) are also determined. Method: Using fuzzy membership functions, the standardized criteria maps were created in GIS based on the nature and role of these factors in the site selection. First, it was necessary to multiply these layers to their weights based on their priorities for combination of the criteria. Fuzzy AHP was used for this purpose. Finally, Ordered Weighted Averaging was used to overlay and combine the layers. Findings: The results indicate that the northwestern part of Qazvin province is inappropriate for the intended purpose and eastern and southeast parts of the study area are forecasted. Discussion and Conclusion: Since the risk level of making decision is controlled at high, low or intermediate in combination of the layers by this method, the application of the results of this method will be acceptable, making decisions based on this method will have less uncertainty and the results of this method can be used with more confidence. Manuscript profile -
Open Access Article
42 - Feasibility of Common Landfill Establishment in Khomeynishahr City and its Adjacent Cities Using Fuzzy Logic and AHP
Afsaneh Afzali Ali Faghihi-ZarandiAbstract Background and Objective: Nowadays, landfill method is used as the last strategy in the integrated solid waste management hierarchy. It is more common and has lower costs than other sanitary disposal methods. Selecting the suitable landfill site can prevent the MoreAbstract Background and Objective: Nowadays, landfill method is used as the last strategy in the integrated solid waste management hierarchy. It is more common and has lower costs than other sanitary disposal methods. Selecting the suitable landfill site can prevent the inappropriate ecological and socio-economical effects. Landfill site selection requires the analysis of spatial data, regulations and accepted criteria. The main objective of this study is to determine the suitable common municipal solid waste landfill site for Khomeynishahr and its 6 adjacent cities. For this purpose, the multi criteria evaluation method, GIS and Analytic Hierarchy Process (AHP) were used to evaluate the suitability of appropriate landfill site by emphasizing on regional vision. Method: Different information layers related to the maps of the study area were provided and superposed using both the Boolean and fuzzy methods (classification of suitable areas in the valued range of 0 to 255) in the GIS environment. The AHP was used for weighing the information layers. Findings: After the necessary analysis, the proposed suitable landfill sites with an area of less than 1% were defined in 5 regions and in central parts of the study area. Conclusion: The results obtained from this study can be used as the first priority to help the decision makers in suitable landfill site selection. Manuscript profile -
Open Access Article
43 - Commercial Areas Locate Region 17 of Tehran Using Fuzzy AHP Method
Mohammad Heydar ali Saeed KarimiAbstract Background and Objective: The urban location with the use of GIS in urban planning is very important. Commercial usage is one the most important urban usage wich affects other urban activities. It is worth noting that people are actively deal with space and alw MoreAbstract Background and Objective: The urban location with the use of GIS in urban planning is very important. Commercial usage is one the most important urban usage wich affects other urban activities. It is worth noting that people are actively deal with space and always with the business and related information. Individual placement in a convenient location from an environmental perspective and getting it by all senses will be able to actively respond to the environment and it will draw the attention to the environment. Due to the remoteness of the hospitals, railway stations and close to natural areas such as parks, subjective factors such as the appearance of intimacy, originality and vitality affected and will affect the ability to invite people. Method: In this regard, appropriate measures to study the documents formulation and using the AHP model value of each criterion, relative to other criteria determined and to each of the relevant criteria weights. Finally, the resulting weights in layers of criteria and multiplication using fuzzy compounds layers were combined. Results: Integrated data showed that the 2 with more favorable situation than the 1 and the area as well as with situation better than 3 areas with different importance is the best place to create trade center. Conclusion: Region 17 of Tehran withpopulation of more than 358 thousands suffers from adequate access to 3 district municipality and this matter makes the costs of access to urban services increase. Therefore, this study explains appropriate indicators and geographic information systems to locate suitable commercial places in the region in each explained municipal areas which have been chosen for the establishment. Manuscript profile -
Open Access Article
44 - Zoning earthquake vulnerability using GIS (Case study: Tehran city)
Mahdi Hashemi Aliasghar Alesheikh Mohammadreza MalekIntroduction: Natural hazards like earthquakes, tornados and floods can cause considerable losses to lives and environmental properties. In order to develop an appropriate risk management and loss mitigation strategy, it is crucial to develop reliable methods for risk a MoreIntroduction: Natural hazards like earthquakes, tornados and floods can cause considerable losses to lives and environmental properties. In order to develop an appropriate risk management and loss mitigation strategy, it is crucial to develop reliable methods for risk assessment. Risk assessment is defined by both assessing the likelihood and intensity of the natural disaster. Methodology: In order to assess earthquake vulnerability in this research, governing factors were identified and weighted using Analytic Hierarchy Process (AHP). Vulnerability map for census tracts of Tehran city has been provided with the help of Index Overlay (IO) and Fuzzy Logic methods. Results are presented visually in GIS environment. Results: The results indicate the preference of fuzzy logic in determining vulnerability of areas, although index overlay method with sufficient number of weight classes for each factor can bring similar results. In addition, index overlay method benefits from simplicity, faster problem solving and more flexibility in combining inputs and ranking outputs. A suitable method for the preparation of vulnerability map must observe the fuzziness rate of parameters, the appropriate selection of membership function and the optimized integration of data layers. Manuscript profile -
Open Access Article
45 - Optimization of Network-Based Matrix Investment Portfolio and Comparison with Fuzzy Neural Combination Pattern and Genetic Algorithm(ANFIS)
ALI SheidaeiNarmigi Fraydoon Rahnamay Roodposhti Reza RadfarResearchers have been researching portfolio optimization issues for several years. One of the main issues is to determine the optimization method, which is to form an optimal investment portfolio, ie to minimize investment risk and maximize investment profit. The aim of MoreResearchers have been researching portfolio optimization issues for several years. One of the main issues is to determine the optimization method, which is to form an optimal investment portfolio, ie to minimize investment risk and maximize investment profit. The aim of this study is to investigate the strategic capability of network matrix and fuzzy genetic neural model (ANFIS) in optimizing the investment portfolio among companies on the Tehran Stock Exchange. Grouping stocks by network matrix based on new variables including aggressive, indifferent and defensive stocks provided by Roodpashti (2009) and traditional variables including growth, growth-value and value stocks and classification of companies based on their market value and use. From the law of quarters and finally their weighting is considered in proportion to the return of that share. The design and presentation of a stock portfolio optimization model using adaptive fuzzy neural inference system and its combination with genetic algorithm (ANFIS) in which two different categories of technical and fundamental variables are used as model inputs. Research outputs show that these systems have the necessary ability to optimize the stock portfolio. Therefore, a combined model of neural networks and fuzzy reasoning theory with genetic algorithm has been used to weight the factors affecting stock portfolio optimization in the 7 years leading up to 1398. Manuscript profile -
Open Access Article
46 - Evolutionary multi-objective (3 or 4) optimization portfolio using fuzzy logic in Tehran Stock Exchange
Mohammad Javad Salimi Mirfeiz FallahShams Hadi Khajezadeh DezfuliThe problem of portfolio optimization and stock selection is one of the major areas for financial investors in financial markets. In this paper, some of the challenges of simultaneously multi-objective portfolio optimization are addressed. Four different models are desi MoreThe problem of portfolio optimization and stock selection is one of the major areas for financial investors in financial markets. In this paper, some of the challenges of simultaneously multi-objective portfolio optimization are addressed. Four different models are designed: a fuzzy multi-objective programming model has been used to consider the multi-criteria nature of stock selection and the uncertainty associated with the return on assets and a simple model for doing this. The models are designed in such a way that both the nature of the multiplicity of the problem of portfolio selection is considered and the considerations of the investor in the choice of portfolios are involved. After designing the evolutionary 3 and 4 objective models of portfolio optimization, multi-objective evolutionary algorithm NSGA-II was used to solve this models. Concretely, it optimizes return, the downside-risk, skewness and the Kurtosis of a given daily returns, taking into account budget, and investor constraints. Because of the NP-HARD nature of the above models, the NSGA-II proprietary algorithm was coded in the MATLAB, and after solving each model and extracting the Pareto frontier, the best portfolio on the Pareto front was selected based on the maximum Sortino ratio. Finally, the results of the obtained portfolios in both fuzzy and non-phase conditions were compared according to the trainer's ratio, and it was determined that the use of fuzzy logic in quadratic evolutionary algorithms, compared to a situation where fuzzy logic is not used in the design and use of these algorithms., Creates more favorable results. Manuscript profile -
Open Access Article
47 - Application of AHP and fuzzy logic in analysis of impact Physical and human investment in promoting of industrial productivity
samira motaghiThe present study aims to investigate effective factors on productivity through analytical approach and using AHP method, fuzzy approach and econometric analysis.Paper Analyses the effect of investment and industrial labor productivity on the total factor productivity i MoreThe present study aims to investigate effective factors on productivity through analytical approach and using AHP method, fuzzy approach and econometric analysis.Paper Analyses the effect of investment and industrial labor productivity on the total factor productivity in this sector (at macro level) with the panel data approach, and it examines the individual productivity indicators of the industrial labor by analyzing the responses of 130 employees of the company National Distribution of Iranian Oil Products in Tehran Region as a Case Study at Micro Level (Using AHP and Fuzzy Method).The result show that:The indicators of physical and human investment, R & D and real exchange rate are factors influencing the total productivity of the factors of production in the industry; among other things, the R & D index, as compared to other indicators, has a longer-term impact on total factor productivity In addition, direct impact of physical investment in the industrial sector in Iran, is the concept of a faster evaporation of the variable on productivity, even in the short term.Also, the effectiveness of individual labor productivity index on total factors productivity emphasize on factors affecting on the productivity of individual labor, and shows that monthly salary indices, reward system, education, promotion of job satisfaction and system Meritocracy (from the perspective of employees), respectively, has the greatest effect on the productivity of industrial labor and consequently, the total efficiency of the production factors of this sector.. Manuscript profile -
Open Access Article
48 - Design of Mathematical Optimization Algorithm of Banks' Foreign Exchange Portfolios on the Basis of Fuzzy Logic and Relevant Risk Indices (Case Study: Bank Mellat)
Gholamreza Bayati Mohammad Ebrahim Mohammad Pourzarandi HAMIDREZA KORDLOUIE Arefeh FadaviOptimization of banks' foreign exchange portfolios aiming to determine an optimized combination of foreign exchange assets is in such a manner that it leads to a minimum risk and maximum yield. The approach used in this article, which is actually a priority over other m MoreOptimization of banks' foreign exchange portfolios aiming to determine an optimized combination of foreign exchange assets is in such a manner that it leads to a minimum risk and maximum yield. The approach used in this article, which is actually a priority over other methods is to use a combination of inexact mathematical models (fuzzy) and optimization. Thus, in this research, linear programming with fuzzy target coefficients has been used. The target coefficients are the same as the exchange rate. In other words, the daily rates of all currencies due to fluctuations are considered as fuzzy numbers. Therefore, in this investigation, by developing a multi-purpose mathematical model and by applying the fuzzy data relating to transaction rate of six foreign exchanges in year ended on March 20, 2020, including US dollar, Emirates Dirham, Japanese Yen, Turkish Lira, Korean Won and Euro, case by case risks related to the fluctuations of noted foreign exchanges and also their yield in the foreign exchange portfolio of Bank Mellat were measured and estimated for the future time horizon. All banks may benefit from the developed model. By determination of the optimal weight of each foreign exchange, upon describing and analyzing the existing status it specifies the optimal status, enabling banks to fulfill their foreign exchange obligations on due dates by properly and optimally making investment in foreign exchange assets meanwhile gaining a competitive advantage. "Gams Software" was used for solving the model. Manuscript profile -
Open Access Article
49 - presentation of new method for investment strategy in private section
Hosseyn Mombeyni Abdolreza Yazdani ChamziniSelection of the investment strategy is a bothersome and sophisticated process because of taking into consideration a large number of quantitative and qualitative parameters like benefits, opportunities, costs, and risks. However, the parameters may have a significant i MoreSelection of the investment strategy is a bothersome and sophisticated process because of taking into consideration a large number of quantitative and qualitative parameters like benefits, opportunities, costs, and risks. However, the parameters may have a significant influence on each other. A decision-making trial and evaluation laboratory (DEMATEL) can be used to construct a network relationship map. On the other hand, according to the information is incomplete, uncertainty is an inseparable part of making decision in solving the MCDM problems. Therefore, this paper proposes a new hybrid model based on analytic hierarchical process (AHP), DEMATEL, and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) techniques under fuzzy environment to evaluate the problem of the selection of the investment strategy. For achieving the aim, a three-step process is presented to formulate the problem under consideration. First, the structure of the investment problem is broken into a simple hierarchy structure by using the AHP method to simply model the problem and calculate the importance weights of criteria by using a pairwise comparison process. Second, the interdependent relationships are identified by applying the DEMATEL technique. This technique is employed for computing the global weights of benefit, opportunities, cost, and risk (BOCR) factors. Finally, the fuzzy TOPSIS methodology is used for prioritizing the alternatives. To show the effectiveness of the proposed model, a case study is investigated. The results demonstrate that the proposed model is capable of prioritizing the investment strategies. Manuscript profile -
Open Access Article
50 - Promotion of Effective Level of Investment Management in Iran Capital Market using Artificial Neural Network and Fuzzy Logic
Hossein Amouzad MahdirajiOne of the most important problems in capital market is allocating financial resources in an optimal fashion. In an effective capital market, from an operational point of view, the capital is allocated for the best investment option. Therefore, in order to establish mor MoreOne of the most important problems in capital market is allocating financial resources in an optimal fashion. In an effective capital market, from an operational point of view, the capital is allocated for the best investment option. Therefore, in order to establish more output, making use of appropriate management tools is a step toward more effective market management of transactions. Regarding backgrounds of applying Artificial Neural Networks and Fuzzy Logic in stocks investment and financial prediction, applying them in selecting an appropriate portfolio can lead to desired results for investors. The major goal of the current research is to achieve an optimal investment portfolio in capital market by applying Artificial Neural Network and Fuzzy Logic. Accompanied by Markowitz Model, models were used which were created through Artificial Neural Network. In order to establish investment portfolio, some of those companies were selected which were active in Tehran stock exchange, and which have had positive efficiency from the year 1386 to 1395. In order to evaluate the suggested portfolios in different conditions, the output of different portfolios based on the monthly and yearly output of the member companies were compared and optimization of suggested portfolios using genetic algorithm were carried out. The study shows that using the Fuzzy models versus mentioned models would provide higher output for the investors. Manuscript profile -
Open Access Article
51 - Use of Fuzzy Numbers for Assessing Problem Solving Skills
Michael Gr‎.‎ Voskoglou‎ S. N. Mishra -
Open Access Article
52 - Flood Hazard Zonation Using Spatial Hydrologic Analysis in GIS and Interpretation of Satellite Images: A Case Study on Aharchay Catchment
Mehdi Gharakhani Hossein Aghamohammadi Mohammad Hassan VahidniaBackground and Purpose: Recognizing the flood hazard zones and its spatial analysis is an effective step in preventing financial and human losses from this natural disaster, and as a result, it contributes to the sustainability of the environment. In the current researc MoreBackground and Purpose: Recognizing the flood hazard zones and its spatial analysis is an effective step in preventing financial and human losses from this natural disaster, and as a result, it contributes to the sustainability of the environment. In the current research, the flood risk assessment in the Aharchai catchment area located in East Azarbaijan province is presented.Methods: In this regard, geographic information system and spatial analysis are used, and in order to create flexibility in the integration of existing information, fuzzy logic is used for flood risk zoning. SCS method was also used to estimate runoff height and peak discharge.Findings: Flood risk zoning using fuzzy logic shows that about 10% of Ahrchai catchment area is in high and very high-risk classes. Based on this, the floodplains and flat surfaces of the foothills for reasons such as low relative height, low slope, proximity to the main waterways, intersection of branches and high drainage density, high values of valley depth and low values of land surface convexity are more vulnerable to floods. The findings show the high spatial variation of runoff height and peak discharge at the level of Ahrchai sub-basins.Discussion and Conclusion: With the help of the proposed method, the determining factors in the occurrence of floods and also the potential areas of runoff were determined. In general, the southern sub-basins of Ahrchai catchment have the potential to produce runoff and low peak flows. On the contrary, a significant part of the northern sub-basins of the study basin has high runoff and peak flow production potential. The northern half of the Ahrchai basin corresponds to the southern slopes of the Qara Dagh mountain range, whose geological structure is mainly composed of igneous rocks with low permeability. In this way, the sub-basins in the northern half of the basin have a high potential for producing runoff due to receiving more rainfall and low permeability of the soil. Manuscript profile -
Open Access Article
53 - Evaluation and zoning of land suitability for rangeland using AHP- FUZZY method )Case study: saghezchi chay catchment, Ardabil)
dariush naseri Aliakbar Shamsipour Mohammad RezvaniConservation, exploitation sustainable management of watershed resources in order to meet the needs of the present generation and preserve these resources for future generations, are one of the main priorities. The purpose of this study is to determine the suitability o MoreConservation, exploitation sustainable management of watershed resources in order to meet the needs of the present generation and preserve these resources for future generations, are one of the main priorities. The purpose of this study is to determine the suitability of the land for rangeland using Multi Criteria Evaluation (MCE) based on fuzzy logic. Considering makhdoom ecological model for pasture land use nine factors include rainfall, elevation, slope, soil, sediment, soil hydrologic group, soil depth, vegetation density and current land use were evaluated and prepared from relevant agencies departments. To determine the weight of the factors analytical hierarchy process (AHP) was used and by ArcGIS9.3 software and using weighted linear combination (WLC) operator, all of the layers were overlaid and then, final raster map was created. Final suitability of the area for rangeland were categorized to very good, good, mediate, poor and very poor categories and zoning map was made. The results showed that 1186 ha (15.6%) of the area has a very good capability, 1677.7 ha (22.9%) has good capability, 1872.5 hectares (24.66%) has mediate capability, 2,176 hectares (28.63%) has poor capability and 680 ha (8.9%) has very weak capability for Range Management. The results show that the combination of geographic information system and multi criteria decision making in evaluation of the suitability of lands for agriculture and range land use is very efficient. Manuscript profile -
Open Access Article
54 - Poetry as a Fuzzy Domain: How Metaphor and Ambiguity Make Poetry Fuzzy?
Ali Jamali NesariPoetry as a Fuzzy Domain: How Metaphor and Ambiguity Make Poetry Fuzzy?AbstractFuzzy logic is, in all likelihood, an ancient domain known probably even to Aristotle's predecessors. However, it was not until 1965 when professor Lotfizade published his article ''Fuzzy Set MorePoetry as a Fuzzy Domain: How Metaphor and Ambiguity Make Poetry Fuzzy?AbstractFuzzy logic is, in all likelihood, an ancient domain known probably even to Aristotle's predecessors. However, it was not until 1965 when professor Lotfizade published his article ''Fuzzy Sets'' that it was systematized into a decent field of study. Fuzzy Logic challenges Aristotelian logic on many grounds, rejecting its rigid division of the world phenomena into binary oppositions, its certainty and its ignorance of the grey ground in between. Little work is done in Iran on the implications of fuzzy logic for literature and especially poetry. Far from being a first step, this study is an attempt to answer the call, posing such questions as the following. Is literature a fuzzy phenomenon? How? Can metaphoricity be graded? What about ambiguity? How does metaphor and ambiguity make poetry a fuzzy domain, introducing the concept of continuum and blurring the previously-held boundaries?Keywords: Fuzzy logic, Literature, Poetry, Metaphor, Ambiguity. Manuscript profile -
Open Access Article
55 - Evaluating the harm of X-rays in diagnosis and treatment in medicine with the help of fuzzy logic
Amirmohamad Askari-Tanha Fataneh Taghizadeh-FarahmandObjective: Fast and correct diagnosis of the disease is very important in many cases. In X-ray medical imaging, the doctor treats the patient without accessing the inside of the body's organs. Therefore, the standard conditions must be met so that the benefits of using MoreObjective: Fast and correct diagnosis of the disease is very important in many cases. In X-ray medical imaging, the doctor treats the patient without accessing the inside of the body's organs. Therefore, the standard conditions must be met so that the benefits of using X-rays are greater than its disadvantages. Since the presence of medical personnel in imaging centers is now a necessity, they are therefore vulnerable due to constant exposure to the dangers of X-rays. Assessing the level of risk requires the definition of effective parameters that are associated with uncertainty. In this regard, the aim of the current research is to evaluate the harm of X-rays in diagnosis and treatment in medicine with the help of fuzzy logic.Materials and methods: In this research, by using the fuzzy method, and with the help of graphic tools of MATLAB software, and determining four input parameters and one suitable output parameter, and by determining the rules by an expert and the Mamdani fuzzy inference system, the harms of X-rays for the referring person and The treatment panel was checked for imaging.Findings: Examining the data of six selected medical imaging centers in different cities of Iran showed that all these centers are in the medium range of vulnerability to the dangers of X-ray radiation.Conclusion: It seems that the Ministry of Health and Medicine should take more, continuous and serious care regarding safety and protection in medical centers. Safety points must be fully observed, otherwise, in the long run, the treatment staff will face problems with X-ray radiation. Manuscript profile -
Open Access Article
56 - Fuzzy-GSA Based Control Approach for Developing Adaptive Cruise Control
M. Bostanian -
Open Access Article
57 - Improving Teacher Evaluation using Fuzzy Logic
Iman Zabbah Saeed Mirzadeh samanh jafariClassic statistical evaluation models are generally absolute and therefore make it difficult to achieve reliable results. One reason for this is that the sources used, inherently, contain inaccurate information and make the conditions difficult for a valid evaluation. I MoreClassic statistical evaluation models are generally absolute and therefore make it difficult to achieve reliable results. One reason for this is that the sources used, inherently, contain inaccurate information and make the conditions difficult for a valid evaluation. In this study, using fuzzy inference, educational evaluation of professors was conducted. Due to the uncertain nature of the fuzzy theory, it is possible to analyze and evaluate information more precisely. The standard questionnaire of Islamic Azad University was distributed among 105 students to evaluate teachers. Then, the priority of each survey question was determined by interviewing some professors. The weighting effect of each professor's experience in response to each question priority and, also, the number of assessors' parameter in their evaluation system were considered. Mamdani type fuzzy inference system was chosen which receives two input fuzzy and provides the desired output based on fuzzy rule base. Finally, using three methods for evaluation including classic evaluation, evaluation with the expected value and fuzzy evaluation, have shown that the rating of teachers using fuzzy logic could be closer to reality. Manuscript profile -
Open Access Article
58 - Comparative evaluation of landslide susceptibility map using Analytical Hierarchy Process (AHP) and Fuzzy methods
Ali Dastranj Hamzeh NoorBackground and ObjectiveAmong many natural hazards, landslides are one of the most widespread and destructive. Due to the high mountainous topography, tectonic activity, high seismicity, diverse geological and climatic conditions, basically, Iran has a natural condition MoreBackground and ObjectiveAmong many natural hazards, landslides are one of the most widespread and destructive. Due to the high mountainous topography, tectonic activity, high seismicity, diverse geological and climatic conditions, basically, Iran has a natural condition for creating a wide range of landslides and these landslides annually cause both life loss and financial damage to the country. Since it is difficult to predict the timing of landslides, identifying susceptible areas to landslides, and zoning these areas based on potential risk are highly important. Therefore landslide-prone areas need to be identified in order to reduce such damage. In this respect, landslide susceptibility assessment can provide valuable information essential for hazard mitigation. The main goal of landslide susceptibility analysis is to identify dangerous and high-risk areas and thus reduce landslide damage through suitable mitigation measures. Since the exact prediction of landslides occurrence isn’t possible by human sciences, thus, we can prevent the damages of this phenomenon by identification of landslide susceptible areas and prioritizing them. Binalood Mountain in Khorasan Razavi Province, Due to its geological location, geomorphology, topography, climate, vegetation, has kinds of mass movement. The results of these studies can be used as fundamental information by environmental managers and planners. Landslide hazard zonation was challenged by several researchers in recent years. In order to provide landslide hazard, zonation maps various methods such as Fuzzy logic, statistic methods and Analytic Hierarchy Process (AHP) can be used. Since the early 1970s, many scientists have attempted to assess landslide hazards and produced hazard zonation maps portraying their spatial distribution by applying many different GIS-based methods. Different models and methods have been proposed to produce Landslide hazard zonation. The aim of this study is to develop and compare detailed landslide susceptibility maps (LSM) for Binalood Mountain, using Fuzzy and AHP methods in the framework of the GIS. Materials and Methods The study area is the northern and southern slopes of the Binalood Mountains that are located in the Khorasan Razavi Province. The present study area fallows under 36 ° 1' to 36 ° 15' north latitudes and 58° 38' to 59 ° 35' east longitudes. According to Geological, Geomorphologic, Hydrological, Climatic, Human and Environmental characteristics of the study area and using comparative studies and results of other researchers, 20 criteria and sub-criteria were identified to achieve the goals. The needed Layers of landslide hazard zonation were prepared using ArcGIS software. These layers are slope, aspect, altitude classes, geology, distance from the river, river density, distance from the road, road density, distance from the fault, fault density, morphological units, topographic indexes (stream power index (SPI), topographic wetness index (TWI) and slope length index (LS)), geomorphological indexes (topographic position index (TPI), topographic roughness index (TRI) and surface curvature index, land use, isothermal lines, and Rainfall lines. Thun, The landslide inventory map has been created in the study area. Subsequently, landslide susceptibility maps were produced using Fuzzy Logic and Analytical Hierarchy Process (AHP) models. After preparing the layers, the next step was to assign weight values to the raster layers, and to the classes of each layer, respectively. This step was realized with the use of the AHP method. So, the landslide hazard zonation map of the study area was presented using weight exertion of factors in their layers and integration of them by Arc GIS software. In the Fuzzy method, after fuzzyizing the layers in the ArcGIS environment, the landslide risk zoning was performed using fuzzy gamma 0.8. For verification, the receiver operating characteristic (ROC) curves were drawn and the areas under the curve (AUC) were calculated. Finally, the ratio of the percentage of landslides was in each zone to the percentage of the total area of the zone was calculated. Results and Discussion The results of weighting the parameters affecting the landslide using the Analytic Hierarchy Process (AHP) showed that geological, slope, and fault factors have the greatest impact on the occurrence of landslide risk in the study area, respectively. The class of very high and high susceptibility covers 47.8% of the total area in the landslide susceptibility map generated with the AHP model. Low and moderate susceptible classes make up 13.4 and 38.8% of the total area, respectively. According to the landslide susceptibility map based on the Fuzzy Method, 27.7% of the total area was determined to be very high and high susceptibility to landslide. Low and moderate susceptible classes constitute 56.8%, and 15.5% of the area, respectively. The AUC values were 0.817 and 0.752 for AHP and Fuzzy models and the training accuracy was 81.7 and 75.2%, respectively. It can be concluded that both models utilized in this study showed reasonably good accuracy in predicting the landslide susceptibility of the study area. Finally, the ratio of the percentage of landslides was ineach zone to the percentage of the total area of zone showed the NRi values in each susceptible class for the AHP model more than the Fuzzy method. The larger ratio in the AHP method indicates its better consistency than the Fuzzy method, implying more coverage of landslides in a smaller area by the AHP method. This result represents the better accuracy of the AHP method than the Fuzzy method in the landslide susceptibility map. Conclusion In this study, the most widely accepted models, AHP and Fuzzy were used for producing Landslide Susceptibility Map (LSM) and their performances were compared. The LSMs were divided into five landslide susceptibility classes. The performance of the resulting LSMs was verified by the ROC curves and Numerical Ratio (NRi). The results show that the AHP and Fuzzy models are successful estimators. The map produced by the AHP model exhibited a slightly better result for landslide susceptibility mapping in the study area. These two techniques may be characterized by incorporating a wide range of conditioning factors. Also, they can discriminate the causative factors for understanding the importance of each factor. The interpretation of the susceptibility map indicates that geological, slope, and fault play major roles in landslide occurrence and distribution in the study area. The landslide susceptibility maps like the one produced in this study should provide a valuable tool for the use of planners and engineers for reorganizing or planning new programs. Manuscript profile -
Open Access Article
59 - Identification of karst areas using Remote sensing and GIS method and its expansion in Zalem-Rud sub-basin of Sari in Mazandaran, Iran
Mohammad Ali Gholi Nataj Malekshah Davood Jahani Seyed Ramzan Mousavi Nader Kohansal Ghadimvand Seyed Hamid VaziriBackground and Objective Karst is a composite image of all the roughness, shapes, pores, and phenomena caused by water corrosion, above and below the surface, in various soluble geological formations, which cover about 15% of the world's exposed rocks. Despite the impor MoreBackground and Objective Karst is a composite image of all the roughness, shapes, pores, and phenomena caused by water corrosion, above and below the surface, in various soluble geological formations, which cover about 15% of the world's exposed rocks. Despite the importance of karst areas in the past, today, the study, identification, spatial analysis and management of these areas are of very interest to geologists, hydrologists, hydrogeologists, eco-tourists, geotourists and environmentalists at various scales. Karst phenomenon also has a special place in various dimensions from the point of view of geology and geomorphology, because the causes and methods of dissolution processes and forms and their extension in rocks and minerals are of great importance to East Mazandaran, especially in the study area, is geologically one of the areas with karst process potential and has been less studied due to environmental conditions, especially vegetation and access roads. This study is focused on identifying karst areas and their extent using RS and GIS method in the Zalem-Rud Sari basin in Mazandaran province in northern Iran. In order to identify karst areas and physicochemical characteristics of existing aquifers, it was first necessary to identify karst areas and then assess their physicochemical status. In the first step, using Landsat, ASTER and SRTM satellite data, geological maps, weather information and field visits, factors affecting karstification such as rock types, Fracture lineaments, vegetation, climate, condition of the drainages and the slope of the topography are extracted. It should be noted that in this step, to obtain a better result, fuzzy logic and Hierarchical Analysis Process have been used. In the second step, in order to investigate the physicochemical condition of the aquifer, the chemical parameters of some springs are analyzed and the dissolution parameters, saturation indices, the origin of water-soluble components and the general flow system in the existing aquifers are determined.Materials and Methods In this study, the composition and distribution of rock, based on field visits and georeferenced geological maps of one hundred thousandths of Behshahr and Sari, have been done. Three methods of manual, automatic and semi-automatic have been used to extract the lineaments due to fractures. In the manual method, the lineaments are highlighted and extracted by applying High Pass filters, PCA and the color combination of Landsat 8 satellite data. In the automatic method, the Segment Tracing Algorithm (STA) in PCI software is used. In the STA algorithm, linear pixels are identified based on the degree of gray difference and then converted to vectors based on RADI, GTHR, LTHR, FTHR, ATHR and DTHR parameters. The Normalized Difference Vegetation Index (NDVI) was used to detect and extract vegetation status on OLI sensor data from the Landsat 8 satellite. To generate DEM, photogrammetric techniques were performed on a pair of stereo images of ASTER sensor in Idrisi software based on parametric variables of external and external orientations and ground control points (GCPs). The topographic slope of the area has been calculated by DEM and based on the degree in GIS and its map has been prepared. Based on the weather data of the General Meteorological Department of Mazandaran Province, the weather condition is determined by the isothermal, isohyetal and isoevaporation curves and the type of weather is determined by the De Marton method.Results and Discussion The result of the above activities has been the production of lithological maps, density and distance from fracture lineaments, density and distance from drainages, topographic slope, rainfall and vegetation. Due to the different criteria used in the generated maps and the need for a single, comparable and proportionate criteria for combining information layers, fuzzy logic has been used. In this case, all layers, except lithology, which has a definite boundary and is a function of Boolean logic, are fuzzy and then extracted as fuzzy layers in GIS. On the other hand, because the weight and effectiveness of the eight factors affecting the occurrence of the karst phenomenon are not the same, the Hierarchical Analysis (AHP) method has been used to determine the preference and prioritization of these factors. And the participation rate, in other words, the weight of each criterion with an incompatibility coefficient of less than one percent has been calculated in Expert Choice 12 software. Finally, by the weighted linear combination (WLC) method, fuzzy raster layers based on their effective weight are combined with Compromise Operator or Gamma and the karst distribution map is extracted with different probability coefficients in the study area. In the next step, in order to investigate the physicochemical status of the aquifers and evaluate the karst phenomenon, 18 springs with equal flow and more than three litres per second were selected and evaluated using SPPS, RockWorks2016 and PHREEQC2.6 software. In addition to extracting hydrogeochemical tables and graphs, the saturation index of various minerals has also been calculated.Conclusion The results of this study show that the karst phenomenon has the most spread in the central part and the lineaments resulting from fractures have played the most role in the formation of this phenomenon. The water type of these springs is calcium-magnesium bicarbonate and according to the Gibbs diagram, the role of aquifer rocks in determining the chemical composition of water is very clear. Also, the saturation indices of minerals and the type of flow in groundwater reservoirs are diffuse and diffuse-duct flows. To this research, the use of new remote sensing technology and GIS increases accuracy and speed and reduces costs in karst studies. Manuscript profile -
Open Access Article
60 - Land suitability assessment model for urban development using Multi-Criteria decision-making approach and Geographic Information System (Case study: Bam)
Pooya Farhani Sahar Rezayan Mojgan Zaeimdar Seyed Ali JoziBackground and Objective In recent decades, with the acceleration of urbanization and the growth of migration to cities, the physical structure of cities has undergone extensive changes. To implement these changes, regardless of the ecological capacities and requirement MoreBackground and Objective In recent decades, with the acceleration of urbanization and the growth of migration to cities, the physical structure of cities has undergone extensive changes. To implement these changes, regardless of the ecological capacities and requirements of sustainable urban development, cities are facing many challenges. One of these challenges is determining the appropriate areas for the physical expansion of the city for the establishment of urban development. One of the most reliable methods to determine the appropriate directions and areas for urban development by considering environmental conditions and characteristics is the land suitability assessment. Such an assessment greatly contributes to sustainable land use and solving environmental problems caused by rapid urban development. Land suitability assessment aims to identify the most appropriate spatial pattern for future land uses considering the ecological potential of the area. Since many criteria need to be considered and analyzed in the selection of appropriate lands for urban development, it is necessary to use the most effective techniques to identify the best locations for future urban expansion. The Geographic Information System is such a technique, having its most useful application in the land suitability assessment method. In setting the importance of the criteria used and computing the weights of factors, GIS tools must be integrated with other methods to improve the results. Given that, the present study attempted to evaluate the land suitability to determine suitable areas for the establishment of urban development of Bam city through the integration of the Multi-Criteria Decision-Making approach, Fuzzy Logic, and Geographic Information System.Materials and Methods To achieve the objectives of this study, with the help of a group of experts, and an extensive review of the related literature, all the criteria and sub-criteria essential to the establishment of urban development were identified as the first step. To this end, a questionnaire was designed and distributed among the group of experts and they were asked to express their opinions on the identified criteria and sub-criteria. To determine the required sample size and population, Morgan’s sampling table was employed. Consequently, 9 criteria and 13 sub-criteria were selected for the land suitability assessment in this study. Multi-Criteria Decision-Making method and Expert-Choice software were used to compare and weigh the previously determined criteria and sub-criteria. As the next step, all the data layers were standardized by the fuzzy logic method using ArcGIS software. The scale of the maps used in this research is 1:100000 and the resolution of digital layers is 90×90 meters. After assigning calculated weights to each data layer, they were overlaid using the Weighted Linear Combination method and fuzzy sum technique.Results and Discussion The results from MCDM analysis revealed that three sub-criteria namely distance from major faults, distance from drinking water wells, and soil texture had the highest weights among other factors at 0.235, 0.117, and 0.114, respectively. The inconsistency calculated for the pairwise comparison in this study was 0.07, which is below the 0.1 thresholds. Analysis of the final raster suitability map, resulting from overlaying data layers, showed that the highest and the lowest pixel values were 0.481 and 0.07, respectively. To perform a more accurate analysis, the final suitability map was classified into four suitability classes (medium, low, very low, and undevelopable) indicating that 24% of the studied area equivalent to 189965.2 hectares, categorized as having medium suitability, 34% low equivalent to 268854.3 hectares, 22% very low equivalent to 178695.7 hectares, and 20% undevelopable equivalent to 160762/3 hectares for the establishment of urban development. The medium suitable areas are mainly located in the east, northwest, and to a lesser extent in the center, mostly away from the major fault lines, while the areas of very low suitability and undevelopable are mainly located in the west and south of the area studied. Due to their proximity to protected areas, mountainous, fault lines, and hills, these areas do not demonstrate the appropriate suitability for the establishment of urban development.Conclusion This study was conducted to identify and determine suitable areas for the establishment of urban development in Bam city using a combination of the Multi-Criteria Decision-Making approach, Geographic Information System, and Fuzzy Logic technique. All the criteria and sub-criteria, used to conduct this study, have been determined using a questionnaire and considering the environmental conditions and socio-economic characteristics of the studied area. As a result, 9 criteria including water resources, climate, topography, geology, soil, areas under the Department of Environment Management, roads, population centers, and land use, and 13 sub-criteria including distance from surface and groundwater resources, climate, wind speed, slope, altitude, distance from the main faults, geology, soil texture, distance from protected areas, distance from roads, distance from built-up urban areas and land use were selected for this study. Expert Choice and ArcGIS software were employed for pairwise comparison and standardization and overlaying data layers. It was found that 24% of the studied area equivalent to 189965.2 hectares can be categorized as medium suitability for the establishment of urban development. Based on the final results, it is concluded that the integration of the Multi-Criteria Decision-Making approach, Fuzzy Logic, and Geographic Information System can provide sufficient tools to determine the areas suitable for urban development and present a detailed analysis of these areas according to the characteristics of the area for future planning. Manuscript profile -
Open Access Article
61 - Landslide hazard zonation using Fuzzy logic (A case study: ChamSangar watershed)
Salman Soori Siamak Bharvand Taher FarhadinejadLandslides are one of the most destructive phenomena of nature that cause damage to both property and life every year, therefore, landslide susceptibility zonation (LSZ) is necessary for planning future developmental activities. In this study, the operator of fuzzy logi MoreLandslides are one of the most destructive phenomena of nature that cause damage to both property and life every year, therefore, landslide susceptibility zonation (LSZ) is necessary for planning future developmental activities. In this study, the operator of fuzzy logic in landslide hazard zonation has been used in the Chamsangar watershed. For study the stability of slopes in the Chamsang field, in first step the sliding point and subsequent distribution maps of landslide were prepared using satellite images and field excursions (recording the sliding points by GPS). The correlation level between sliding points and each effective factor in landslide occurrence including slope, aspect, landuse, elevation, lithology, rainfall, drainage and distance to road determined using frequency ratio model. The fuzzy values prepared by expert view and the membership functions appointed for all effective factors in ArcGIS®10.1environment. The Sum of Quality (QS) index used for evaluation and deviation of operators outputs which applied in estimation of sliding risk. Results show that Gama operator 0.9 with QS=0.554 is the more suitable than Fuzzy Algebraic Sum with QS=0.042 and Fuzzy Algebraic Product with QS=0.008 for prepare the landslide risk maps in Chamsangr field. According the zoning based on the gamma operator 0.9, the 13.39, 47.58, 32.7, 5.44, and 0.884 percent of the area is located in very low, low, medium, high and very high risk classes, respectively. Manuscript profile -
Open Access Article
62 - Land suitability assessment for industry's establishment with AHP-Fuzzy logic method (Case study: Malard county)
Alireza Gharagozlou Masoumeh AlizadehUnplanned development of industries can be harmful to sustainable development. Some of the harms include destruction of farmlands and natural ecosystems and emission of environmental pollutants. Furthermore, establishment of industries in unsuitable and risky sites can MoreUnplanned development of industries can be harmful to sustainable development. Some of the harms include destruction of farmlands and natural ecosystems and emission of environmental pollutants. Furthermore, establishment of industries in unsuitable and risky sites can cause heavy damages. Thus, unplanned development of industrial plants should be stopped and suitable lands for industrial purposes should be studied and identified. The aim of this research is land suitability assessment for industry's establishment in Malard county using AHP-Fuzzy Logic method. Various qualitative and quantitative criteria effective in land suitability assessment were identified and selected. Then, using AHP method, qualitative criteria were quantified and weighed. In modeling process, fuzzy logic was used to convert discrete variables to continuous variables and change data layers to raster format and combines them in Arc®GIS software. Finally, the land suitability map for industrial development was developed. Manuscript profile -
Open Access Article
63 - Suitable sites for wind power plants constructed in East Azerbaijan using fuzzy- analytical hierarchy process (FAHP) method
Mehdi Asadi Saeid Jahanbakhsh AslIn this study, to determine appropriate locations for the construction of wind power plants in the East Azerbaijan, several criteria, including wind speed, prevailing wind speed, pressure, temperature, elevation, slope, road, city, village, protected areas, land use, ri MoreIn this study, to determine appropriate locations for the construction of wind power plants in the East Azerbaijan, several criteria, including wind speed, prevailing wind speed, pressure, temperature, elevation, slope, road, city, village, protected areas, land use, river, fault and earthquakes were considered. All criteria were implemented by using an analytical hierarchy process (AHP) weight of layers in EC2000 software. For fuzzification the parameters were coded by 0, 1 into the IDRISI software and based on the expert opinions, the control points and fuzzy function of each layer was determined. Then the software Arc®GIS9.3 was used to overlay layers, and finally, the East Azerbaijan potential wind power plant was constructed in four levels: excellent (217294.36 ha), good (972887.64 ha), fair (1650932.35 ha) and poor (1709038.40 ha). Manuscript profile -
Open Access Article
64 - Providing a Solution Based on Fuzzy Logic to Reduce False Positive Alarms in The Intrusion Detection System
Mohammad AkhlaghpourIntroduction: The intrusion detection system is responsible for identifying and detecting unauthorized external use of the system that is misused or damaged by internal users. Therefore, the intrusion detection system is created in the form of software and hardware, eac MoreIntroduction: The intrusion detection system is responsible for identifying and detecting unauthorized external use of the system that is misused or damaged by internal users. Therefore, the intrusion detection system is created in the form of software and hardware, each of which has its own advantages and disadvantages. The speed and accuracy of the hardware system and the failure of their security by intruders are other features of such systems. If the software related to intrusion detection, acceptability, and the difference between different operating systems are used, they give more generality to the software systems. More suitable software systems are chosen.Method: The behavior of the intrusion detection system is discussed in opposition to various intrusion methods, and in order to deal with intrusion into the system and computer networks, several methods have been created under the name of intrusion detection, which monitors the events that have occurred in a system and into computer networks.Results: the performance of the intrusion detection system is presented in order to influence the behavior of the abuse detection system as well as anomaly detection using fuzzy logic based on an alpha device. The obtained results showed the accuracy rate up to 91.26% and the detection of false alarms up to 90.96%.Discussion: An Intrusion detection system is essential as the first line of defense for the network. Many algorithms depend on the quality of the data set provided for intrusion detection. Of course, in recent developments in knowledge data collection access systems, there has been an increase in interest in data-driven approaches to curb the increase in control system cyber-attacks related to false alarms. Most machine learning-based intrusion detection systems rely on web applications/operating systems or network layers to detect targeted attacks by host or network. Nevertheless, there is still a lack of sufficient research in the evaluation and collection of intrusion detection system datasets for false alarm behaviors, which requires further studies in this field. Manuscript profile -
Open Access Article
65 - Identification and Prioritization of Optimal Places for locating urban hospitals by Combining the F-ANP, F-WASPAS methods, and GIS output in the ArcGIS Environment: Case Study: Arak City
Mahya Saghari Mohammad Ehsanifar Arezoo Babaei -
Open Access Article
66 - Intelligence Model based on Augmented Reality used for Educational Initiative in Architectural Education
Mostafa Azghandi مهدی یعقوبی Elham fariborziThe current research aims to teach the principles of sustainability to high school students through the three-dimensional modeling of native Iranian-Islamic architecture in the context of virtual and augmented reality settings.Therefore, after identifying the components MoreThe current research aims to teach the principles of sustainability to high school students through the three-dimensional modeling of native Iranian-Islamic architecture in the context of virtual and augmented reality settings.Therefore, after identifying the components of native architecture and determining the effective factors in its teaching process through a systematic review of the research literature and conducting semi-structured interviews with a wide range of experts in the research field, in the next step and using an educational model based on the constructivist approach, the story of native Iranian-Islamic architecture has been shared with students. Finally and in the last step of the research, in order to determine the degree of improvement of students' understanding of the concepts related to the principles of sustainable development and native architecture, a questionnaire tool was used with the desired validity and reliability. In this context, the findings of the research indicate that the usage of 3D modeling has been effective in increasing students' familiarity with the different characteristics of native Iranian-Islamic architecture and creating the positive changes in their knowledge, behavior and awareness of concepts related to sustainability principles. Manuscript profile -
Open Access Article
67 - The Effectiveness of the Automatic System of Fuzzy Logic-Based Technical Patterns Recognition: Evidence from Tehran Stock Exchange
Abdolmajid Abdolbaghi Ataabadi Sayyed Mohammad Reza Davoodi Mohammad Salimi Bani -
Open Access Article
68 - An Algorithmic Trading system Based on Machine Learning in Tehran Stock Exchange
Hamidreza Haddadian Morteza Baky Haskuee Gholamreza Zomorodian -
Open Access Article
69 - Prospection of Iron and Manganese Using Index Overlay and Fuzzy Logic Methods in Balvard 1:100,000 Sheet, SE Iran
Misagh Mirzaei Peyman Afzal Ahmad Adib Masoumeh Khalajmasoumi Afshar Zia ZarifiThe aim of this study is prospecting of iron and manganese in the Balvard 1:100000 sheet which is situated in Sanandaj - Sirjan structural zone utilizing Index Overlay and Fuzzy Logic methods in the GIS. In this study, the layers for integration, alterations, geological MoreThe aim of this study is prospecting of iron and manganese in the Balvard 1:100000 sheet which is situated in Sanandaj - Sirjan structural zone utilizing Index Overlay and Fuzzy Logic methods in the GIS. In this study, the layers for integration, alterations, geological, geophysical, geochemical and structural data based on stream sediments, airborne magnetometeric and remote sensing studies. Based on results obtained by both of methods, Fe and Mn prospects exist in the NE and northern parts of the area. The prospect areas derived via the Fuzzy Logic method are larger than those of gained from the Index Overlay method because the method used in the range from 0 to 1 value. Manuscript profile -
Open Access Article
70 - Designing and implementation of a fuzzy-dynamic model to evaluate system’s risk and reliability
Majid VaziriSarashk Sohrab KhanMohammadi Mahmood Alborzi Seyed Mohammad Seyed Hoseini -
Open Access Article
71 - An Approach to Selecting a Suitable Supplier
Hojjatollah Hamidi -
Open Access Article
72 - Designing and Fuzzification a Comprehensive Expert System of Higher Education Institutions Performance Evaluation Based on Balanced Score Card & Fuzzy Multi-Criteria Decision Making
Fatemeh Aghababaie Saeed Ayat Sara Aghababaie -
Open Access Article
73 - Evaluating suppliers in supply chain using a combination technique Fuzzy MOLP-AHP (Case of the study: Azaran Industrial Group)
Seyed Haidar Mirfakhradini Iman Nourbakhsh Atrina Rabiee Sasan RowshanIn the last decade, supplying raw materials and selection of suppliers in the supply chain has been a challenge for most of the organizations. Since the performance of suppliers has a major impact on the success or failure of the supply chain, Supplier selection known a MoreIn the last decade, supplying raw materials and selection of suppliers in the supply chain has been a challenge for most of the organizations. Since the performance of suppliers has a major impact on the success or failure of the supply chain, Supplier selection known as a strategic task. Thus, in this study - whom has been carried out in the Azaran Industrial Group - researchers has tried to identify the most important criteria in selecting suppliers and determining the importance of each of them according to experts' opinions to select the best suppliers. Therefore, the main criteria for selecting suppliers of a part of parts of the Azaran Industrial Group with a poll of relevant experts were identified through questionnaire. Then by using fuzzy AHP method based on the Analysis of Development, the rate of each criterion and the weight of each supplier - in relation to each criterion - were determined. After that, a fuzzy objective function was created for each criterion. The goal of this function is maximizing the performance of supplier in relation to each criterion. After bringing out the model from fuzzy state, by using the Sum of the Weights, the best supplier was chosen. Manuscript profile -
Open Access Article
74 - A novel method for selecting optimum maintenance strategy using Fuzzy Analytic Network Process and Fuzzy Multi-Choice Programming approach
Iman Zohreie Ali MohtashamiMaintenance systems are critical to achieving the goals of the organization. The main purpose of these systems is to optimize machinery's ability to maximize production and reduce its erosion and malfunction. Accordingly, one of the main concerns of managers in companie MoreMaintenance systems are critical to achieving the goals of the organization. The main purpose of these systems is to optimize machinery's ability to maximize production and reduce its erosion and malfunction. Accordingly, one of the main concerns of managers in companies is selecting the appropriate strategy for maintenance of equipment and machinery. This research presents novel method for selecting optimal maintenance strategy based on Fuzzy Analytical Network Process and Fuzzy Multi-Choice Goal Programming. The method of calculating the fuzzy weights of elements is explained by FANP method and then by de-fuzzy obtained weights and writing the ideals and the objective function and applying the FMCGP approach maintenance strategies will be prioritized. Finally, in the form of a case study, the optimal maintenance strategy among Preventive Maintenance, Reliability base maintenance, Condition base maintenance, Time base maintenance, corrective maintenance and Design-out maintenance for the four selected machines in Mashhad Milk Powder Company is considered. In this regard, by literature review six criteria and thirty sub-criteria has been taken and paired comparison questionnaire was distributed among the ten experts and their views were aggregated and geometric mean was taken from them, and by the FANP approach, the weight of the elements are calculated. Since the weight of the criteria is obtained from FANP method, then the general score of the problem is obtained by solving FMCGP. The present research can provide a comprehensive view of decision makers, especially maintenance managers, and assist them in selecting optimal maintenance strategy. Manuscript profile -
Open Access Article
75 - Using Artificial Neural Network Methodology and Fuzzy Logic to Design an Intelligent Model for Optimizing and Preventive Maintenance in Interaction with Production in the Textile and Clothing Industry
Sayyed Shahram fatemi Mehrdad Javadi Amir Azizi Sayyed Esmail NajafiIn this research, the intelligent model of preventive maintenance and repairs based on artificial neural network methodology - fuzzy logic with the help of artificial intelligence environment of MATLAB software based on the structure of Falcon's five-layer model of arti MoreIn this research, the intelligent model of preventive maintenance and repairs based on artificial neural network methodology - fuzzy logic with the help of artificial intelligence environment of MATLAB software based on the structure of Falcon's five-layer model of artificial neural networks is presented, the research method is based on systems thinking. After determining the most important factors affecting preventive maintenance and repairs with the help of a questionnaire and based on a dataset of 2,000 samples of data and reports of the Director General of Textile and Clothing Industries of the Ministry of Safety during the years 1396 to 1401 (in the form of six and a half years) and validity Data evaluation by the maintenance and repair experts of 240 industrial units, a smart model was designed, which after the implementation of the model in Borujerd textile factories as the place of implementation of the plan can be claimed if (If); Five "technology" factors have values of 0.9129; Good condition (upper bound of good membership function), "Employees" has values of 0.9239; good condition (upper bound of good membership function), "working environment" has values of 0.8859; relatively good (lower limit of the membership function), "quality" has values of 0.9999; Perfect condition (highest function), "strategy" has values of 0.9999; good status (upper limit) in preventive maintenance and repairs, then: the status of the output variable of the research, i.e."Optimization of preventive maintenance and repairs performance (Y)" will be at its fifth level, i.e. very good, equal to 0.882. Manuscript profile -
Open Access Article
76 - Using Fuzzy Mathematical Programming to Design Portfolio Optimization Model (Case Study: Melli Bank Investment Co.)
Farhad Vafaei Sobhan Letafati Omid ArdalanOptimization has always been considered as a major problem by the human being and it has made him go a way to get him the most benefit according to the available sources limitations. Also, it would help him through encountered decisions to benefit from the various scien MoreOptimization has always been considered as a major problem by the human being and it has made him go a way to get him the most benefit according to the available sources limitations. Also, it would help him through encountered decisions to benefit from the various sciences and technologies in this way. In this research, portfolio optimization problem, respecting its importance in securities market as the leading axis of country's financial system and its duty in allocating the optimal system and investors from one side and the demand for more return and less expected risk on the other side are investigated. Also, a model in fuzzy position was designed in the particular way which it brings on the least expected return for investors while minimizing the risk gets regarded. It also took the multi-objective decision-making methods. This paper, having done the modeling, aims at studying the portfolio of Melli bank Investment Corporation as a case study. Manuscript profile -
Open Access Article
77 - Evaluating and Recognizing the Effective Factors of Electronic Faithfulness in Companies Offering Electronic Services Using AHP Fuzzy Logic
Mahmood Khorasany Kiasari Leila Abdullah Zadeh Ramhormozi Fatemeh RahmaniThe Internet has provided the infrastructural business platform for electronic commerce, such that statistics show the growing trend of internet shopping. Electronic commerce is one of the attractive applications in the virtual world which has resulted in a signifi MoreThe Internet has provided the infrastructural business platform for electronic commerce, such that statistics show the growing trend of internet shopping. Electronic commerce is one of the attractive applications in the virtual world which has resulted in a significant change in the business and customers relations and has absorbed a significant portion of the commercial interactions. Internet (online) shopping is one of the new shopping methods with a wide range of advantages. Currently, a lot of trading across the world are undertaken through this method, therefore correct recognition of the customer requirements and the online shopping that they do and quick responding to those needs is the key for business success and increasing customer loyalty. In order to evaluate the development of electronic loyalty for organizations or the online/electronic shopping service providers, this research will identify and evaluate the factors affecting customer loyalty in internet/online shopping and will assess the importance, weight and significance of each factor and ranks them through questionnaires and using AHP fuzzy logic decision making process. Using the results of the research, we will show that which index will be the most important factor in the creation of electronic customer loyalty. Manuscript profile -
Open Access Article
78 - Identification and Ranking of Fuzzy AHP Method of Enablers Agility Industry Segment – group
Mehdi Karbasian Bejan Khayambashi Akbar Nilipour Mohammad JavanmardiThis study attempts to present the key factors for creating an agile organization in an automotive part industry of Mashhad in order of importance. In this regard, factors and sub-factors of organizational agility in the industry were recognized and the importance of th MoreThis study attempts to present the key factors for creating an agile organization in an automotive part industry of Mashhad in order of importance. In this regard, factors and sub-factors of organizational agility in the industry were recognized and the importance of them was determined using fuzzy AHP group method. This is an application study using literature review for determining the factors and sub-factors. Afterward, in order to fit and creating the hierarchical structure, a questionnaire was made to gather the expert viewpoint.The content validity of the questionnaire confirmed using literature review, Supervisor, Co-Supervisor and the other experts. For reliability, Cronbach’s alpha value was calculated and obtained 0.7 for all dimensions of the questionnaire and indicates the internal consistency of the questionnaire. Then exploratory factor analysis was conducted and fifteen sub-factors were categorized into the four main components named technology, workers, organization and systems, and strategies. In the next section, using fuzzy analytic hierarchy process and the contributing group of industry experts, the weight of each factor and sub-factors were determined. Inconsistency rates for all tables were calculated and less than 0.1 obtained. Finally, the priorities of factors and sub-factors were determined. According to the findings, between the factors technology has the first rank and between the sub-factor hardware, software and virtual organization have the first to the third rank. Manuscript profile -
Open Access Article
79 - Presenting a Fuzzy Model to evaluate the rate of Applying Lean Thinking from the Manufacturer's Viewpoint (Case Study: Shoe-Manufacturing Companies of Tabriz)
Sayyed Jamal Ashrafi Saadat Houshang Taghi ZadehLean thinking is a method of managing organizations in order to improve the productivity, efficiency, and quality of the products and services. Accordingly, the main purpose of the present research is to examine and present a model for the evaluation of the rate of appl MoreLean thinking is a method of managing organizations in order to improve the productivity, efficiency, and quality of the products and services. Accordingly, the main purpose of the present research is to examine and present a model for the evaluation of the rate of applying lean thinking from the viewpoint of the manufacturer through the use of fuzzy mathematics. The statistical population includes all the shoe manufacturers of Tabriz. In order to measure each of the indices of lean thinking, the researchers used a questionnaire. The validity of the questionnaire was confirmed by content validity, and its reliability was assessed by using Cronbach's Alpha coefficient.To specify the score of lean thinking and to present the model, fuzzy logic was used in MATLAB software. The results indicate that the index "value" is in the best state, and the index "pull" is in the worst state. Finally, after drawing the conclusion, the researchers presented the necessary guidelines to the managers. Manuscript profile -
Open Access Article
80 - Investigation and Evaluation of Supply Chain Resilience with Fuzzy Logic Approach (Empirical Evidence: Automobile Parts Manufacturing Industry in Mazandaran Province)
Hassanali Aghajani Hossein Samadi Miarkolaei Mohamad FarmanzadehThe supply chain needs the cooperative instrument to face environment challenge for survival in turbulent and volatile markets. This instrument is agility. In fact, the business environment is constantly changing and change creates risk. The risk management is rapidly c MoreThe supply chain needs the cooperative instrument to face environment challenge for survival in turbulent and volatile markets. This instrument is agility. In fact, the business environment is constantly changing and change creates risk. The risk management is rapidly changing, competitive challenges that require elastic; namely ability to survive, adapt and grow in the face of turbulent change. Accordingly, the purpose of present paper is explanation and evaluation of resilience and supply chain resilience by means of an empirical examination in automobile parts manufacturing industry in Mazandaran. The sample in research was 31 companies, and data collection tools were questionnaire including some standard questions with the reliability of 0.85, and data were analyzed using fuzzy hypothesis test. The possibility of the effectiveness of each factor is determined according to their membership functions of acceptance. Finally, it is concluded that managers must to support capability factors that have low membership functions and reduce the effectiveness of vulnerability factors that have high membership functions to receive higher supply chain resilience. Manuscript profile -
Open Access Article
81 - Using Fuzzy VIKOR to Select the Supplier
Marjan Tavasoli Fard Mohammad Ali Forghani Ali MolahoseyniAs the supply chain emerged, the industrial and service organizations began to focus on their suppliers, and as the industries and services developed, they understood that the supplier’s proposed price has not been the only criterion to cooperate; but, the problem MoreAs the supply chain emerged, the industrial and service organizations began to focus on their suppliers, and as the industries and services developed, they understood that the supplier’s proposed price has not been the only criterion to cooperate; but, the problem of supplier selection (SS) has been a multiple-criteria decision making (MCDM) problem. Besides, real-world problems have always been structurally complex. Therefore, due to ambiguity, high uncertainty, and imprecise information, the concept of fuzzy analysis was introduced. Now, we could use imprecise (fuzzy) information as the input of a fuzzy system, and the process of the system could employ approximate induction based on fuzzy logic. In this regard, studying the literature of SS and the criteria used for this purpose, we identify the most suitable criteria. To do so, primarily we designed an appropriate questionnaire, and then we used it to gather ideas of the experts to obtain the weights of the criteria in the fuzzy environment. Afterwards, using the Fuzzy VIKOR approach, we ranked the suppliers. Manuscript profile -
Open Access Article
82 - Investigation of the range morph dynamic changing in Damavand Yakhar glacier using RS and GIS
سعیده Fakhari فتح االله Naderi پرویز Zeyaeyan FirozabadiNatural glaciers as one of the main surface water resources are of a significant importance in the recent time.Remote sensing technology is an important tool in locating and estimating the area of the regions covered withice and snow especially in the out- of- reach mou MoreNatural glaciers as one of the main surface water resources are of a significant importance in the recent time.Remote sensing technology is an important tool in locating and estimating the area of the regions covered withice and snow especially in the out- of- reach mountainous regions. Identifying the morphodynamic changes bymeans of remote sensing is an essential requirement of the management and assessment of natural resources; oneof its methods is to provide the map of changes according to remote sensing images and to use the Geomaticasoft ware. We chose Damavand Yakhar glacier due to its activity and morphodynamic changes during the recentyears. To discover the changes, we used calculation algorithm for changes intensity by subtracting parallel bandson satellite images and principle component analysis (PCA). Finally we located the hydrothermal areas in theglacier by extracting line mentums and combining different bands of TM and ETM scanners in geomatica software. The results of this research show that the area of Yakhar glacier is retreating and its present size is 1.8km2.The main causes of its retreat are the decline of glacier recharge and the heat of smoke emerging fromDamavand volcano. Manuscript profile -
Open Access Article
83 - Hazard zonation of slope instability along Kan-Souleghan route by the use of Fuzzy method
Sahar Hasani Ali Uromiea Zhara MalekiSlope instability is regarded as a worldwide problem that has direct effect on human life and the environment. The human intervention in nature by building structures and disrupting natural causes increase in the number of landslide event. Landslide hazard zonation mapp MoreSlope instability is regarded as a worldwide problem that has direct effect on human life and the environment. The human intervention in nature by building structures and disrupting natural causes increase in the number of landslide event. Landslide hazard zonation mapping is considered to be one of the most reliable methods for evaluating the potential of landslide event along road. These maps can provide in the way of useful information in relation to the identification of high risk areas offer and accordingly, stabilization methods proposed to prevent such risks. In this study, maps of hazard zone landsliding were produced, by using fuzzy logic in ArcGIS and IDRISI along Kan–Suleghan road. Then, in order to assess the accuracy and efficiency of different operators, for creating better results, the fuzzy method was used. Based on studies, revealed the effects of tectonic factors such as faults is most effective parameter. In zoning maps, risk of landslide with fuzzyoverlayOR, the scope of present landslides in the region compared to the area with possibility of landslide occurance in the maps have been showed the good matching. So, in the paper, area it is suggested to prevent construction projects in area with high probability of landslides. Manuscript profile -
Open Access Article
84 - Comparison of Risk Factors for Investing in Tehran Stock Exchange Using Smart Neural Network (Forecasting Tehran Stock Exchange with Neural Networks)
Hamid Mir Ramin Zaraatgari Reza Sotoudeh -
Open Access Article
85 - Modeling for Seismic Vulnerability Prediction Based on Physical-Spatial Indicators of Cities.( Case Study: Tabriz Region 8)
belal mohammadian Hasan Ahar Ali PanahiNowadays, given the growing trend of population and population density in urban areas especially in densely populated cities and in terms of seismicity, the need for a comprehensive and inclusive approach to natural and catastrophic events resulting from their occurrenc MoreNowadays, given the growing trend of population and population density in urban areas especially in densely populated cities and in terms of seismicity, the need for a comprehensive and inclusive approach to natural and catastrophic events resulting from their occurrence has become more apparent. The detrimental effects of over-population concentration in specific urban areas along with a lack of preventive planning and the lack of preparedness to deal with events such as earthquakes is a very serious and important threat to citizens and the continuation of urban life. In this study, District 8 of Tabriz was selected as a case study. The research method is descriptive-analytical, and the purpose of this study is to evaluate and model for predicting seismic vulnerability based on physical-spatial indices of Tabriz considering the quality criteria and providing a suitable model and pattern for construction in Tabriz. For this purpose, out of 9 criteria, building density, population density, quality of buildings (accessibility), access to pedestrian networks, access to essentials, access to open and green spaces, land use, size of fragments, and distance. Dangerous centers have been used. Necessary statistical data is collected, then layers are prepared for seismic zoning and layering is done according to zoning standards. The final analysis was performed using the combination of AHP and Fuzzy TOPSIS methods in GIS (proposed method). Finally, the risk level of the study area was obtained from Tabriz city. The results show that the northern areas have the highest risk areas and the southern areas have the least rate, and finally, it is concluded that the proposed model for risk zoning is applicable. Manuscript profile -
Open Access Article
86 - Risk zonation mapping of Fusarium Head Blight disease of wheat using Fuzzy and GIS model in Golestan province
Hanieh Naderi Mirmasoud Kheirkhah Zarkesh Masoud GoodarziThe purpose of this study was to provide a zoning map of susceptible areas to Fusarium head blight disease of wheat ear; the obtained model was compared by fuzzy logic method with the zonation map obtained from reports of Plant Protection Research stations in Golestan p MoreThe purpose of this study was to provide a zoning map of susceptible areas to Fusarium head blight disease of wheat ear; the obtained model was compared by fuzzy logic method with the zonation map obtained from reports of Plant Protection Research stations in Golestan province. For this purpose, the average of humidity, temperature and precipitation parameters were determined for 45 days in autumn wheat growth period in the stage 65 of the Zadox scale. According to the opinion of plant pathologists and the time of occurrence of Fusarium head blight in Golestan province, preparation of zoning maps was determined through early-April to mid-May period in three days intervals. A total of 15 zoning maps were created and susceptible areas to disease were identified in this model. Zoning was classified into four categories: safe (0-25%), low risk (26-50%), hazard (51-75%) and high risk (76-100%).Validation of the results was admitted by Kappa coefficient method. The results showed that if the spikes were in the susceptible growth stage, the incidence and development of the disease would be predictable from early-April to early-May in the determined areas with a validation of 76%. The symptoms of the disease are not recognizable in the spikes during the mentioned period. The results of this study can be helpful for researcher and related experts in forecasting the disease and decision making of disease management at the best time. Manuscript profile -
Open Access Article
87 - Positioning for the Purpose of Urban Development Using Fuzzy Logic Analysis in GIS and AHP Method: A Case Study in Shahrekord City
Meisam Moharrami Hamed Khani Pardanjani ali Rezaie FahadabadiDue to the development of cities, a number of issues emerge as crucial problems in every-day life of human beings. One the one hand, the urban development, which is one of the essential aspects for the life and survival of human beings, cannot be limited, and on the oth MoreDue to the development of cities, a number of issues emerge as crucial problems in every-day life of human beings. One the one hand, the urban development, which is one of the essential aspects for the life and survival of human beings, cannot be limited, and on the other hand, it should be arranged in harmony with the needs of human being in a way that it does not damage environment. In the present study, it was intended to identify the optimal sites and districts for urban development through determination of environmental features, especially geomorphological features and the analysis of these features. In order to analyze these features, 13 indices were used. Each of the layers was fuzzed in the environment of Geographic Information System (GIS) through integration of Fuzzy Logic and Analytic Hierarchy Process (AHP). In the next step, multiplication operator, fuzzy addition, and fuzzy gamma were operated through multiplication of weight of layers resulted from AHP in each of the layers. The optimal gamma in ArcGIS was categorized in 5 proportion classifications. The results indicated that 9 percent of the studied site is categorized in the low-proportion class and 16.5 percent in high-proportion class. The map of the presented model determined the districts with potentiality of spatial development with respect to the past trends as well as suitable districts for future developments. Accordingly, Northern, Eastern, and Northeastern districts of Shahrekord City are the best and most suitable ones for future development of the city. Manuscript profile -
Open Access Article
88 - Potential identification of groundwater resources using fuzzy logic method (Case study: Darab Fars watershed)
hamidreza amiri yosef shafiei ava fakhraei rad Hojjatullah KeshavarzThe limitation and scarcity of groundwater resources in Darab Fars plain has caused this plain to be in a critical situation and in the forbidden group. With proper management, the capacity of available surface and groundwater resources can be well identified and studie MoreThe limitation and scarcity of groundwater resources in Darab Fars plain has caused this plain to be in a critical situation and in the forbidden group. With proper management, the capacity of available surface and groundwater resources can be well identified and studied to make a comprehensive plan for their proper use. The use of GIS along with observational data leads to easy and systematic estimation of groundwater recharge areas. The purpose of this study is to identify the potential of groundwater resources using AHP model and fuzzy functions in GIS environment. To assess the potential of groundwater resources, 10 geological criteria, fault density, altitude, slope, land use, soil, geomorphology, precipitation, drainage density and distance from rivers were studied and analyzed. The layers were prepared in a GIS environment and then the potential of groundwater resources was modeled using fuzzy logic functions. The results showed that the use of 0.98 gamma showed more favorable results than other numbers. Areas with high groundwater potential were determined with high accuracy. To validate the model, exploitation wells in the region have been used. About 63.62 percent of this type of wells are located in areas with good and very good potential. Areas with good and very good potential correspond to the terrace reserves, alluviums and sediments of the fourth period and have a low slope (0-5 degrees). About 31 percent of the watershed is in two categories of good and very good potential. Manuscript profile -
Open Access Article
89 - Scenario planning and explanation of urban management development with an emphasis on earthquake vulnerability management with a future research approach using GIS, a case study of Mantasa Municipality 6, Tehran
poya amiri mohammad ebrahim afifi Marziyeh MogholiThe research is applied in terms of purpose, explanatory in nature and combined method (qualitative-quantitative). The data collection method is library-documentary. The statistical population was formed by 124 experts and experts from the government agencies of the cit MoreThe research is applied in terms of purpose, explanatory in nature and combined method (qualitative-quantitative). The data collection method is library-documentary. The statistical population was formed by 124 experts and experts from the government agencies of the city of Tehran. Probability and stratified sampling method. The tool for collecting information is the questionnaire of the type of closed questions. For the future research of Tehran city management and to investigate the desired drivers, the criteria influencing the development management of Tehran city have been ranked using the TOPSIS model based on the experts' score. By examining these criteria, possible, probable and desirable scenarios have been developed. The aim of the current research is scenario planning and explanation of the development of urban management with an emphasis on earthquake vulnerability management with a future research approach using GIS. The indicators used for medical centers and hospitals were population density, open spaces, distance from the fault, road network. In the fuzzy inference zoning maps of AND operator, 1453.13, 499.17, 154.9, 35.11 hectares are located in very low, low, medium, high and very high risk areas, respectively. In the OR zoning model, 7.02 hectares are in the very low risk category, 35.11 hectares are in the low risk category, 358.19 hectares are in the medium risk zone, 1755.85 hectares are in the high risk zone, and 2156.18 are in the very high risk zone. The results of the research show that Among the evaluated criteria, the emphasis on the decentralized and integrated management structure with a score of (0.967) has taken the first place. Based on the future research method in Tehran city development management, three scenarios were formulated. The first scenario: change in the structural criteria of Tehran city management (integrated approach in urban planning and management). The second scenario: change in the functional criteria of Tehran city management. The third scenario: Governance is digital democracy. In this zoning, the most vulnerable areas are located in the northern part of the city.Therefore, in the zoning map resulting from the AND operator, more relief and relief centers will be needed in times of earthquakes. In the OR zoning model, 7.02 hectares are in the very low risk category, 35.11 hectares in the low risk category, 358.19 hectares in the medium risk zone, 1755.85 hectares in the high risk zone, and 2156.18 hectares in the very high risk zone. Therefore, the largest area in this zoning model is in the very low class, and this logic considers many areas without risk due to the convergence between criteria, and only a very small part of the center of the study area has been identified as having a high risk. And finally, the zoning model of the GAMA operator, respectively, 185.23, 557.92, 595.88, 643.62, 158.76 hectares were in the very low, low, medium, high, very high risk classes, and the medium risk class covered most of the study area. In this zoning, the most vulnerable areas are located in the northern part of the city. Manuscript profile -
Open Access Article
90 - New CMT-SCTP with increased speed of data transmission
زهرا همراهی jalil jabari lotf maryam hamrahi -
Open Access Article
91 - Designing an Intelligent Intrusion Detection System in the Electronic Banking Industry Using Fuzzy Logic
Adel Jahanbani -
Open Access Article
92 - Improved Dynamic Response and Speed Control of Electric Drives Using Fuzzy Logic Controllers
Amir Rikhtegar Giasi Elham Balaie Hadi Lotfi -
Open Access Article
93 - Fuzzy-Logic Based Frequency Controller for Wind Farms Augmented With Energy Storage and PV Systems
Maryam Torabi Osguie Mehran Ansarin Masoud Solouki Abbas Nemati Yeganeh Bakhshizadeh -
Open Access Article
94 - Load frequency control of two-area interconnected power system using fuzzy logic control approach
Iydin Javadi Marand :saeed barghandan -
Open Access Article
95 - A Hybrid Type-2 Fuzzy-LSTM Model for Prediction of Environmental Temporal Patterns
Aref Safari Rahil Hosseini -
Open Access Article
96 - Uncertain Fuzzy Time Series: Technical and Mathematical Review
Aref Safari -
Open Access Article
97 - An Interval Type-2 Fuzzy-Markov Model for Prediction of Urban Air Pollution
Aref Safari Rahil Hosseini Mahdi Mazinani -
Open Access Article
98 - Fuzzy Clustering Algorithm to Identify Sybil Attacks in Vehicular ad Hoc Networks
Mahdi Maleknasab Ardekani Mohammad Tabarzad Mohammad Amin Shayegan -
Open Access Article
99 - Cluster-head Election in Wireless Sensor Networks Using Fuzzy Logic
Hamid Reza Bakhshi Maryam Benabbas -
Open Access Article
100 - A Fuzzy Logic Control System for Quadcopter by Human Voluntary-Physical Movements
Shayan Mesdaghi Mohamad Dosaranian-Moghadam -
Open Access Article
101 - Fuzzy model for evaluating business plans on new products
Amir Bahramipour SADEGH ABEDI Ali Reza IrajpourThe current research was conducted with the aim of providing a fuzzy model for the evaluation of business plans focused on the development of new products. This research can be used in the industrial cluster of chemical production and systematically examines and analyze MoreThe current research was conducted with the aim of providing a fuzzy model for the evaluation of business plans focused on the development of new products. This research can be used in the industrial cluster of chemical production and systematically examines and analyzes the development of new products. It is an exploratory-modeling research method in terms of practical purpose and in terms of implementation. . In this research, the present research community consists of 12 experts from chemical industry companies. In order to analyze the data, fuzzy Delphi technique has been used. The results show that 6 exogenous variables were selected as key variables in the selection and development of a new product in the organization. In order to determine the importance of exogenous variables that experts doubt in specifying their importance, the method of fuzzy fuzzy analysis technique was used. (0.239), new product development strategy (0.209), level of passing standards and requirements (0.136), absorption of product development research funding (0.077) and absorption of applied research funding (0.061). The dynamic product development model, which is based on the cause and effect relationship, needs to be designed and tested in future studies to simulate the current and future decision-making performance. Manuscript profile -
Open Access Article
102 - The Combination of Management and Customer Comments in Determining Product Mix Based on Revised Fuzzy Theory of Constraints
Naser Hamidi Mehdi EghbaliActivities such as preparing materials, production planning and inventory control and supply of goods are considered as the key areas of supply chain are management and control. It is possible to identify how many and when each product must be produced by planning. Manu MoreActivities such as preparing materials, production planning and inventory control and supply of goods are considered as the key areas of supply chain are management and control. It is possible to identify how many and when each product must be produced by planning. Manufacturers can prioritize each product based on the capacity of the lines, the human resources and etc. Moreover, customers might consider other priority for each product. Accordingly, it is important to determine the amount of production for each product by drawing on management and customer comments. On the other hand, due to the indeterminate nature of data in the real world, the fuzzy logic approach is used for production capacity, processing time and profit. In this paper using the revised fuzzy theory of constraints and priorities of customer, a mixed production is determined and it keeps a balance between producer and customer priorities. The proposed algorithm has been studied using numerical example. The results show the effectiveness of this approach in real-world. Manuscript profile -
Open Access Article
103 - Prioritizing of Agility Dimensions in Public Organizations in Social Security Organization of Qazvin
Akbar Hassanpor Naser Hamidi Mehdi SiyahbaniToday, the organization's ability to respond to rapid environmental changes and meet customer needs is one of the most important advantages. Organizational agility can be regarded as a complete and the most rational response to the changes ahead. Agility in the public s MoreToday, the organization's ability to respond to rapid environmental changes and meet customer needs is one of the most important advantages. Organizational agility can be regarded as a complete and the most rational response to the changes ahead. Agility in the public sector can also apply a suitable domain for development of this concept. Public sector moving to being agility causes to get rid of traditional mechanism and developing serving processes. Unfortunately there is inadequate study about ranking the dimensions of agility and identifying indices of dimensions. The purpose of this study is ranking the dimensions of agility, identifying the main obstacles to improve agility, helping managers to achieve an agile organization is better. Therefore a large-scale study is conducted in the literature, so seven main dimensions of agility and 83 indicators were identified after being confirmed by the elite. The dimensions were included in the questionnaire to be presented to social security experts of Qazvin. The obtained results were analyzed using interpretive-structural modeling techniques, yielding the correlation and the sequence of factors. Then, having determined the organizational agility level, the fuzzy technique was used to rank the factors affecting agility, and the main barriers to organizational agility (from the viewpoint of dimensions) were identified in this case study. Manuscript profile -
Open Access Article
104 - A Framework for Evaluation and Selection the Plant Layout by Fuzzy Topsis
Ali Khatami Firouzabadi Ahmad Jafaryan Amir HasanzadehThere are various methods and algorithms for planet location which were presented by Experts and researchers but it is not possible to nominate one of them as the best one. Selection of the appropriate method or algorithm is difficult in different conditions because of MoreThere are various methods and algorithms for planet location which were presented by Experts and researchers but it is not possible to nominate one of them as the best one. Selection of the appropriate method or algorithm is difficult in different conditions because of there are exist some criteria (Both qualitative and quantitative) which are involved in this Selection, these criteria lead to tough make decision. So this paper deals a make decision framework for Select the best method among manual and computerized methods and algorithms. First of all, the location of optimal methods are extracted from methods that experts think those methods are the most efficient in assumed industry unit. In other hand, the of selection the Suitable method in that unit that are more important than other criteria are selected via mean hypothesis tests by that industry unit, these criteria involve linguistic variables. At the end, Suitable algorithm is achieved in that industry unit conditions by TOPSIS method Manuscript profile -
Open Access Article
105 - Designing the Model of Ethical Leadership, Compatible to the Governmental Organizations of Iran
Keyvan Shahgholian Meysam Alizadeh SiyahkalOne of the issues of reducing waste and therefore increasing productivity in manufacturing enterprises is to endow with smooth and good production layout. Thus, identification and assessment of the factors hindering the realization of the expected productivity of the pr MoreOne of the issues of reducing waste and therefore increasing productivity in manufacturing enterprises is to endow with smooth and good production layout. Thus, identification and assessment of the factors hindering the realization of the expected productivity of the production flow layout is the important. One of these factors is waste; Organizations can make layouts and production stream productive by following up lean thinking model, thereby producing final products with minimal waste. Helps organizations aware of the loss, up to making the right decisions in order to remove those that do not create any added value in the product, apply. Since the measurement of waste, or people's reasoning was based on the knowledge of experts and it is also subjective judgment, the information is ambiguous and linguistic variables in most the criteria. Therefore, there is a powerful technique that can be used on the basis of vague information, it is necessary. Therefore, the proposed fuzzy inference system and Matlab software is used to simulate it. Manuscript profile -
Open Access Article
106 - Identify and Prioritize the Assessment Indicators of Organizational Performance According to Stable Balanced Score Card and MCDM by Using Linguistic Variables
Ali Reza Irajpour Morteza HajiloSustainability balanced scorecard based on the parameters of sustainable development is a useful and ‎powerful method for evaluating the sustainability performance of the organization or company. This issue was noted in literature review of this paper. The issue of MoreSustainability balanced scorecard based on the parameters of sustainable development is a useful and ‎powerful method for evaluating the sustainability performance of the organization or company. This issue was noted in literature review of this paper. The issue of this paper covers the aspects of ‎identify and prioritizes of organization performance assessment indicators. In this study, we examine the approach of sustainability balanced scorecard with fuzzy analysis ‎network process for ranking indicators of performance evaluation in poutine plastic industry Co. At first, for designing a model, the lists of related indicators by using the existent literature review ‎were extracted and then the model was reviewed by experts of the company and the exponential ‎model was proposed. The results show that cash flow is in first priority and air pollution and increase of ‎labor/work force skills are next priorities respectively.The proposed model has shown that performance indicators can merge with various aspects of ‎sustainable balanced scorecard by using of fuzzy analysis network technique.‎ Manuscript profile -
Open Access Article
107 - A Combined Fuzzy Logic and Analytical Hierarchy Process Method for Optimal Selection and Locating of Pedestrian Crosswalks
Mohammad Reza Ahadi Ali Reza Mahpour Vahid Taraghi -
Open Access Article
108 - Studying and Identifying the Effective Factors on Tax Evasion by Fuzzy DEMATEL-Method
Maisam Zanganeh Elham Ashouri Sheikhi Ahmad Abdollahi -
Open Access Article
109 - Analysing Price, Quality and Lead Time Decisions with the Hybrid Solution Method of Fuzzy Logic and Genetic Algorithm
amin mahmoudi hassan shavandi khashayar nouhi -
Open Access Article
110 - Identifying and Evaluating Effective Factors in Green Supplier Selection using Association Rules Analysis
Mohammad Amin Adibi Nima Esfandyari -
Open Access Article
111 - Developing a Risk Management Model for Banking Software Development Projects Based on Fuzzy Inference System
tooraj karimi mohammadreza Fathi yalda yahyazade -
Open Access Article
112 - Fuzzy logic and the role of weight in social sciences decision making parameters
Mahdi Mosayebzadeh Lida Mahdizadeh ghalehjooghThe problem of decision-making in social, political, economic, legal and etc. issues is a problem with uncertainty, and this uncertainty is the main issue in fuzzy logic. Fuzzy logic is an advanced method for making decisions in all problems, which has been investigated MoreThe problem of decision-making in social, political, economic, legal and etc. issues is a problem with uncertainty, and this uncertainty is the main issue in fuzzy logic. Fuzzy logic is an advanced method for making decisions in all problems, which has been investigated in many researches, but the role of the weight of input components has not been explored much. The purpose of this research is to express the role of weight of input components and how to modify the weight of input components to achieve a fairer decision. In this research, first the concept of fuzzy logic is described and then the problem of weight is discussed from a mathematical point of view and it has been shown that how much the application of the correct weight to the input variables can affect the issue of justice in decision making. Also, the method of "Variance Components Estimation" to correct the weight of input data has been introduced and described, and this mathematical point of view has been used and the process of weight correction in social, political, economic and etc. issues has been investigated. The mentioned examples have shown that correcting the weight of the input variables makes the result more consistent with the concept of reality and also with the concept of justice. Finally, suggestions have been made so that different issues can be analyzed with a special process so that the inputs of different issues can correctly affect the results and achieve a more fair decision. Manuscript profile -
Open Access Article
113 - Providing a Model for Safety Risk in Construction Projects Using Fuzzy Expert System and Genetic Algorithm
Mehdi Vakilzadeh Mohsenali Shayanfar Masoud ZabihiSamani Mehdi RavanshadniaToday, the construction industry has a significant share of the economy and is considered as a leading and employment-generating industry. Due to various and sometimes risky activities during construction, there is a possibility of risks and personal and financial injur MoreToday, the construction industry has a significant share of the economy and is considered as a leading and employment-generating industry. Due to various and sometimes risky activities during construction, there is a possibility of risks and personal and financial injuries, the control of which can be very effective in the success of the project. In the present study, a model for evaluating the safety risks of construction projects has been presented and new powerful tools such as fuzzy expert system improved with genetic algorithm have been used. Therefore, at first, the main factors influencing the safety of construction projects were identified by studying the literature and consulting with experts. Then, a questionnaire was provided to the experts to obtain their views and assess the severity of the risk effect and the probability of the occurrence of each risk. Then, based on the experts’ views, an expert system was obtained to assess the risks, which instead of using zero and one logic, governing expert systems, fuzzy logic was used. In the proposed model, to improve the performance of the fuzzy expert system, the genetic algorithm was employed as an optimizer. The research results indicated the optimal performance of the proposed model in assessing the safety risks of construction projects, so that the error rate of the model was acceptable. The model can also provide an effective tool for project managers in assessing and refining the safety situation in the construction site. Manuscript profile -
Open Access Article
114 - Enhancing Green Productivity via A Two-Level Green Supply Chain Management Practice Model and Importance Analysis: Bushehr Petrochemical Industries
Ahmad GhorbanpoorIn the present era, green supply chain management is considered as an important organizational philosophy in reducing environmental hazards and a preventive approach to increase organizational performance. Different industries are obliged to enforce environmental compli MoreIn the present era, green supply chain management is considered as an important organizational philosophy in reducing environmental hazards and a preventive approach to increase organizational performance. Different industries are obliged to enforce environmental compliance during various supply chain processes to meet environmental obligations in their production or service activities. Hence, the main purpose of the current enquiry was to design a two-level model for green supply chain management practice and to analyze the relevant importance of each component, via fuzzy analysis, in enhancing green productivity in the Petrochemical Industry in Bushehr province, Iran. The research population consisted experts and specialists from both the industry and the university. The research data were gleaned through a researcher-made questionnaire. To serve the purpose, the study commenced with reviewing the existing literature via a qualitative content analysis approach which identified 12 important measures that can be taken in the field of green supply chain management. Having validated the Two-Level Model, the importance of each of the measures was computed via Fuzzy analysis. Finally, the managerial measures in Green Supply Chain were classified and, accordingly, suggestions were presented to the Petrochemical Industries Managers concerning how to improve their situation. Manuscript profile -
Open Access Article
115 - Fuzzy Mathematics and Nonstandard Analysis Application to the Theory of Relativity
John N Mordeson Sunil Mathew -
Open Access Article
116 - Fuzzy Model of Smart Toilet Bowl-Bidet System
Yeesock KimThis paper proposes an application of a Takagi-Sugeno fuzzy model to the prediction of complex mass transfer behavior in smart toilet bidet systems. The model is constructed through the integration of fuzzy logic theory, nonlinear autoregressive moving average exogenous MoreThis paper proposes an application of a Takagi-Sugeno fuzzy model to the prediction of complex mass transfer behavior in smart toilet bidet systems. The model is constructed through the integration of fuzzy logic theory, nonlinear autoregressive moving average exogenous input models, neural networks, and data clustering algorithms. To develop the model for estimating the air quality of the smart toilet-bidet system, many datasets are collected from a smart toilet bidet model equipped with an automatic odor/bacteria suction system using Sulfur hexafluoride (SF6) gas. Many case studies were carried out as a function of the suction flow rate, suction angle, the number of suction holes, and suction hole size. The inputs for training the fuzzy model are the size, number, and angles of suction holes, whereas its output is the undesirable gas concentration. The trained fuzzy model is tested using different datasets. Modeling and testing results show the effectiveness of the fuzzy model in predicting the gas concentration of the toilet bowl. The proposed fuzzy model is expected to be useful in the implementation of smart toilet bowl systems in the near future. Manuscript profile -
Open Access Article
117 - A Hybrid Model for Assessing Student Mathematical Skills
Michael VoskoglouStudent assessment is a very important process in education, because it helps the instructor to determine student mistakes and to improve their performance by reforming his/her teaching plans. A hybrid assessment method using qualitative grades for evaluating student ma MoreStudent assessment is a very important process in education, because it helps the instructor to determine student mistakes and to improve their performance by reforming his/her teaching plans. A hybrid assessment method using qualitative grades for evaluating student mathematical skills is presented in this work. The paper starts with the mathematical background which is necessary for the understanding of its contents. This includes basic information about fuzzy, neutrosophic and soft sets, and about grey numbers. It also includes a description of the use of the center of gravity (COG) defuzzification technique for assessing a student group’s quality performance. The COG technique is compared with the classical method of calculating the GP A index. The hybrid assessment method, which is based on all the previous concepts and processes, is developed next and the article closes with the final conclusion and some recommendations for future research. Manuscript profile -
Open Access Article
118 - Why Linear (and Piecewise Linear) Models Often Successfully Describe Complex Non-Linear Economic and Financial Phenomena: A~Fuzzy-Based Explanation
Hung Nguyen Vladik KreinovichEconomic and financial phenomena are highly complex and non-linear. However, surprisingly, in many cases, these phenomena are accurately described by linear models – or, sometimes, by piecewise linear ones. In this paper, we show that fuzzy techniques can explain the un MoreEconomic and financial phenomena are highly complex and non-linear. However, surprisingly, in many cases, these phenomena are accurately described by linear models – or, sometimes, by piecewise linear ones. In this paper, we show that fuzzy techniques can explain the unexpected efficiency of linear and piecewise linear models: namely, we show that a natural fuzzy-based precisiation of imprecise (“fuzzy”) expert knowledge often leads to linear and piecewise linear models. We show this by applying invariance ideas to analyze which membership functions, which fuzzy “and”-operations (t-norms), and which fuzzy implication operations are most appropriate for applications to economics and finance. We also discuss which expert-motivated nonlinear models should be used to get a more accurate description of economic and financial phenomena: specifically, we show that a natural next step is to add cubic terms to the linear (and piece-wise linear) expressions, and, in general, to consider polynomial (and piece-wise polynomial) dependencies. Manuscript profile -
Open Access Article
119 - On a New View of a Fuzzy Set
Enric Trillas Adolfo De SotoWith this paper the authors try to newly reflect on Zadeh’s concept of a fuzzy set. The departing point is the fact that not only fuzzy sets originate in Language, but that they are just ’linguistic entities’ genetically different from the concept of ’crisp sets’ whose MoreWith this paper the authors try to newly reflect on Zadeh’s concept of a fuzzy set. The departing point is the fact that not only fuzzy sets originate in Language, but that they are just ’linguistic entities’ genetically different from the concept of ’crisp sets’ whose origin is either in a physical collection of objects, or in a list of them. Thus, a new definition of a fuzzy set is presented by means of two magnitudes: A qualitative one, a graph, the basic magnitude, and a quantitative one, a scalar magnitude. If the first reflects the language’s relational ground of the fuzzy set, the second - and thanks to ’measuring the meaning of words’ -, reflects the (numerical) extensional state in which it currently appears. Since the second, the scalar magnitude, is essential for the applications, it is also introduced the concept of a ’working fuzzy set’ by taking into account the numerical function, the meaning’s measure or the membership function. The working fuzzy set, that enlarges the corresponding fuzzy set, allows us to see the ’same fuzzy set’ with different membership functions, that is, the same graph appearing in different extensional states. Notice that a ’working crisp set’ is but the same crisp set. Manuscript profile -
Open Access Article
120 - Assessment and Zoning of Ecotourism Potential with Fuzzy Multi-Criteria Analysis Approach (Case Study: Meshghinshahr County)
Mortaza Gharachorlu Fariba Esfandyary Elhameh EbadiThe study addressed Mshginshahr County for ecotourism assessment, because of having ‎natural potentials, aimed to ecotourism zoning using fuzzy multi-criteria analysis in the ‎area. In this regard, data and information of 9 environmental criteria including clima MoreThe study addressed Mshginshahr County for ecotourism assessment, because of having ‎natural potentials, aimed to ecotourism zoning using fuzzy multi-criteria analysis in the ‎area. In this regard, data and information of 9 environmental criteria including climate, ‎slope, aspect, elevation, distance from streams, density of vegetation, soil, lithology and ‎distance to faults was collected according to different library documents. Preparation, ‎management and analysis of data were performed by geographic information system ‎‎(GIS), finalized by zonal mapping of ecotourism potential in the area. Results of the ‎zoning map showed that there is good potential for ecotourism in the area. Also, the ‎map has a suitable agreement with environmental properties of the area. According to ‎ecotourism potential zoning map, about 17 percent of the county had high ecotourism ‎capability and 72 percent of it had low ecotourism capability. Spatial concentration‏ ‏of ‎ecotourism suitable extents in the south, occupied by good ranges and forests, persuades ‎us to prioritize the development of ecotourism in the zone. In contrast, domination the ‎unfavorable climate and consequently poor vegetation cover in northern half of the ‎county have decreased the ecotourism potential in this zone, so that apart from a few ‎scattered locations in the north, most of the northern half of the county has low ‎ecotourism potential.‎ Manuscript profile -
Open Access Article
121 - Evaluating ecological capability for urban development using multi-criteria decision making models (Case Study: Ardabil Province)
kolsum yarmohammadi zahra khodabakhshi amin nazarpoorAbstract One of the main stages of land use is the ecological capability of the land. Since it is impossible to limit the development of cities, they should be tailored to meet the needs of today and tomorrow, so that environmental damage can not be avoided. The purpose MoreAbstract One of the main stages of land use is the ecological capability of the land. Since it is impossible to limit the development of cities, they should be tailored to meet the needs of today and tomorrow, so that environmental damage can not be avoided. The purpose of this study is to assess the ecological capability of Ardabil province for urban development. . In this research, the zoning of the ecological capability of Ardabil province has been done by combining the fuzzy model and Shannon entropy, and then, using numerical taxonomy, priority has been given to environmental power in Ardabil province, in five optimal, favorable, moderate , Weak and very weak power of the region for sustainable urban development. The use of multi-criteria models, including fuzzy inference and the production of maps that are close to reality, can effectively assist in the identification of lands for the establishment and development of the city of Ardabil province. The results of this study showed that in both methods (fuzzy and taxonomic), northern parts of the province are suitable regions to the most suitable, the southern parts are inadequate, parts of the eastern parts are moderate to suitable and inappropriate western parts. According to the findings, the areas are very convenient 12.22%, suitable for 18.27%, 20.20%, inappropriate 25.13%, and very inappropriate 23.26% of the province. The results of the research can be of great help in locating the cities appropriately to prevent environmental crises and make sustainable and sustainable use of the Manuscript profile -
Open Access Article
122 - Zoning Areas Prone to Settlement Development Using the Fuzzy Logic and AHP Integrated Model (Case Study: Poldokhtar City)
Majid Goodarzi Zahra Soltani Riyaz MareiThe optimal zoning of urban development directions based on environmental capabilities is one of the most important urban development planning; choosing the right urban development direction may make a city face fewer challenges and problems in the future, including nat MoreThe optimal zoning of urban development directions based on environmental capabilities is one of the most important urban development planning; choosing the right urban development direction may make a city face fewer challenges and problems in the future, including natural hazards. It may also cause urban development may be done properly. Considering the significance of the subject, the present study aims to zone the areas prone to the development of settlements in the boundaries and outskirts of Poldokhter city. According to the subject and objectives, SRTM 30 meters high digital model, a 1:100000 geological map of Iran’s Geological Organization, a Landsat satellite image, and digital layers of information were employed as research data. The most important research instruments were Arc GIS (to prepare the desired maps) and Expert Choice (to implement the AHP model). Also, in this research, fuzzy logic models (to fuzzify the layers and also to combine the information layers, and prepare the final map) and AHP (to weigh the information layers) were used. As the results indicated, many parts of the urban area and outskirts of Poldokhter are lowly suitable for urban development. These areas, mainly including the northern regions of Poldokhtar urban area, have little potential for the physical development of residential areas due to the high elevation and slope, being in the mountain units and the alluvial valley. Accordingly, only parts of the southern areas of Poldokhter city are susceptible to the physical development of residential areas due to the low elevation and slope and being in the plain unit. Manuscript profile -
Open Access Article
123 - Comparison of the deterministic and fuzzy approaches in HR planning
Hamideh Gharibi Yamchi Adel Azar Mehdi Alvani Reza Seyed Javadin Seyed Javadin -
Open Access Article
124 - Identification and Prioritization of Organization Performance Evaluation Indexes‚ using BSC - Fuzzy ANP (case study: Mammut Industrial Group)
حمید صالحی محمد مهدی موحدی عباس خدابخشنیاز به پیشرفت ازجمله عوامل مؤثر در توسعه است و تلاش برای تأمین این نیازها موجب میشود که سازمان به سمت توسعه سوق یابد. در این میان سنجش عملکرد سازمانها، یکی از قویترین ابزارهای مدیریتی است که میتوان به کمک آن، اطلاعات مورد نیاز از وضعیت سازمان را به دست آورد. در این Moreنیاز به پیشرفت ازجمله عوامل مؤثر در توسعه است و تلاش برای تأمین این نیازها موجب میشود که سازمان به سمت توسعه سوق یابد. در این میان سنجش عملکرد سازمانها، یکی از قویترین ابزارهای مدیریتی است که میتوان به کمک آن، اطلاعات مورد نیاز از وضعیت سازمان را به دست آورد. در این مقاله مدل ارزیابی عملکرد مبتنی بر کارت امتیازی متوازن که شامل چهار وجه (مالی، مشتری، فرایندهای کسب و کار داخلی و یادگیری و رشد) میباشد به همراه تحلیل شبکه ای (ANP) و منطق فازی (Fuzzy)، مورد استفاده قرار میگیرد. در این خصوص برای ارزیابی عملکرد، در مرحله اول چشم انداز، استراتژیهای گروه صنعتی ماموت و شاخصهای مرتبط با هر کدام از مناظر کارت امتیازی متوازن مشخص میگردد. در مرحله دوم با استفاده از نظر نخبگان وزن شاخصها، وجوه کارت امتیازی متوازن و استراتژیها بر اساس تحلیل شبکه ای و به صورت فازی تعیین میگردد. در مرحله سوم بر اساس نظر نخبگان این گروه به هر شاخص امتیاز داده میشود، و در مرحله آخر بر اساس وزنهای محاسبه شده و امتیازات شاخصها، شاخصها اولویت بندی میشوند و عملکرد سازمانی گروه صنعتی ماموت اندازه گیری میشود. مدل پیشنهادی برای ارزیابی عملکرد سازمانی گروه صنعتی ماموت در سال 1392 به کار گرفته شد و عملکرد این واحد 75 درصد محاسبه و ارزیابی گردید. Manuscript profile -
Open Access Article
125 - Investigation and Potential of Landslide Risk Using Fuzzy Logic Model in Kahman Basin Lorestan Province
dariush abolfathi sayyad asghari saraskanroud Ehsan GhaleLandslides as one of the natural hazards can cause a lot of damage every year. Kahman catchment with potential mountainous features and different natural conditions has potential landslide potential. The purpose of this study was to investigate landslide hazard using fu MoreLandslides as one of the natural hazards can cause a lot of damage every year. Kahman catchment with potential mountainous features and different natural conditions has potential landslide potential. The purpose of this study was to investigate landslide hazard using fuzzy logic model in Kahman basin of Lorestan province. In this study, first, effective parameters on landslide occurrence were extracted and then the relevant layers were prepared. Then the landslide distribution map of the basin occurred. Then, by integrating the landslide map with the landslide distribution map, the effect of each of the slope factors, slope direction, lithology, precipitation, land use, distance from fault and waterway were calculated in ArcGIS software environment. In this study, fuzzy logic model with fuzzy community operator, fuzzy sharing operator, fuzzy algebraic multiplier operator, fuzzy algebraic sum operator, and fuzzy gamma operator were applied. Based on zoning using gamma-fuzzy operator, 64.37, 7.45, 8.93, 12.49 and 6.76 percent of the area were classified as very low, low, medium, high and very high risk classes has taken. Manuscript profile -
Open Access Article
126 - Identification areas susceptible to soil erosion using Fuzzy-AHP Case Study: Mahabad dam watershed
Davood Talebpoor asl Ezzatollah GhanavatiSoil erosion is always occurred as a natural event but human false interference led to accelerated soil erosion and irreversible effects. Mahabad dam watershed, due to topographic mountainous and steep slopes is very susceptibility against soil erosion. The aim of this MoreSoil erosion is always occurred as a natural event but human false interference led to accelerated soil erosion and irreversible effects. Mahabad dam watershed, due to topographic mountainous and steep slopes is very susceptibility against soil erosion. The aim of this study is to prioritize the factors affecting sediment production using fuzzy logic and AHP models and finally, generating the susceptibility mapping apron to soil erosion in Mahahbad dam watershed. At first, based on expert experiences seven factors were recognized on soil erosion including the following; slope degree, land use, time of concentration, elevation of sea, precipitation, lithology and distance to river. The susceptibility soil erosion map based on fuzzy logic and AHP models were classified in five classes. The accuracy of the erosion susceptibility map provided by the model is further checked by calculating Seed Cell Area Index (SCAI). Results show that about 102.12 km2, equivalent to 13.15% of the area has the potential to "very high" risk of erosion and sediment production, which in the sub-basins Dehbokr, Bangvyn, Qzljeh, Maraneh and Syahghol has more potential. Manuscript profile -
Open Access Article
127 - Application of fuzzy logic method to investigate beekeepers potential in Tamin Rangelands – Mirjaveh County
Marzieh Gorgi Hossein Piri Sahragard Soheila NooriAssessing the potential of rangelands for the development of multi-purpose use and the propre utilization of the capabilities of these resources is a serious challenge for managing pastures. in this regard, this research was conducted with the aim of evaluating the comp MoreAssessing the potential of rangelands for the development of multi-purpose use and the propre utilization of the capabilities of these resources is a serious challenge for managing pastures. in this regard, this research was conducted with the aim of evaluating the competence of the Tamin rangelands in order to develop beekeepers by using Fuzzy logic method in the arc GIS software environment in the Tamin rangelands in northern Taftan. For this purpose, sampling was carried out in vegetation brigades of the region by systematic randomization method with the establishment of three 300 meter transects. After determining the effective measures in determining the suitability of beekeepers using the proposed FAO method, effective measures were firstly weighed by experts . in the next step Fuzzy logic was applied to the criteria. Generally, the results of apiculture model In Fuzzy logic method showed that 24.9 of land units was classified as high suitable (S1), 28.2 with moderate suitability(S2), 40.6 with low suitability(S3) and 6.3 non suitable (N) for use apiculture. In addition, the index weight of vegetation cover factor (0.84) is more than access to water resources (0.81) and environmental and physical factors (0.37). According to the results of Fuzzy logic method, the eastern regions of the rangelands of Tamin have a higher suitability for apiculture, and this should be considered in the development of apiculture and vegetation management in the rangelands of Tamin. Manuscript profile -
Open Access Article
128 - Using Fuzzy Logic Functions in GIS for Site Selection of Urban Cemeteries
غلامعلی خمر وحید پاسبان عیسی لوGraveyards in Iran have long been one of the most important urban parts, since their uses have not only had a direct relationship with urban planning rules but they have also been under the influence of religious beliefs and customs of people, so organizing and locating MoreGraveyards in Iran have long been one of the most important urban parts, since their uses have not only had a direct relationship with urban planning rules but they have also been under the influence of religious beliefs and customs of people, so organizing and locating them also own certain sensitivities. In terms of the structural situation, the current cemeteries of Pars Abad city are not in good conditions. On the other hand, they lack a suitable burial capacity to meet the new demands of the urban dead. Therefore, this study aims has been attempted to optimize the sites around the city to build a new cemetery using Boolean logic and Fuzzy Logic in the form of GIS. In order to identify the most fundamental factors in determining the appropriate place for the urban cemeteries, the role and affectability of each of the above- mentioned factors in the site selection was determined. Then, using the fuzzy membership functions (Gaussian, large and linear), different maps were prepared based on the nature and role of these factors in site selection. Next, through designing the inference network and taking advantage of the Fuzzy Logic model and its operators (Prod, Sum, and gammas of 0.7, 0.8, and 0.9), the data combination was performed non- linearly. Ultimately, the most suitable sites obtained by the inference network were compared according to the degrees of membership and their distance to the defined boundaries. The results show deep differences between facilities and the desirable status quo site selection of the graveyards. In the end, several measures aimed at restoring the long-standing role of the urban graveyards in the structure of civil life and its attitudes’ changes towards its executive and research are suggested. Manuscript profile -
Open Access Article
129 - The Application of Fuzzy Logic and the Forbidden Search Algorithm (TS) in the Field of Solving the Hub Problem for Locating Day Markets
gholam khammar zahra seyedy fateme vazifejooChoosing suitable points to establish daily neighborhood markets, as service units, is an important task for urban planners in the field of location sciences. It is related to facilitating urban access and controlling urban traffic. The purpose of this research is to lo MoreChoosing suitable points to establish daily neighborhood markets, as service units, is an important task for urban planners in the field of location sciences. It is related to facilitating urban access and controlling urban traffic. The purpose of this research is to locate neighborhood day markets in Zabol, considering proper distribution to enhance accessibility and improve intra-city travel demand. The research method used in this study is descriptive and analytical. Initially, the positive and negative factors influencing location were identified and examined. Then, through data collection, information layer preparation, classification, internal valuation of the layers, and weighting and overlaying of information layers using fuzzy logic in a GIS environment, the lands of Zabol were prioritized for creating neighborhood day markets. Six favorable points for locating day markets were identified. Furthermore, considering the characteristics of each selected point and calculating the accessibility of the forty neighborhoods in Zabol, the forbidden search algorithm was applied to solve the hub location problem. The software provided the best possible answer after 100 iterations, with a final weight of 531, within a time frame of 11 seconds. The algorithm’s findings indicate that points 1, 2, 4, and 5 are the most suitable for locating day markets. Manuscript profile -
Open Access Article
130 - Leveling the Development Rate of the Cities of Hamedan Province Using the Approach of Decreasing Spatial and Regional Inequalities Hadi Rostami, PhD Student in Geography and Urban Planning, Malayer Branch
hadi rostami Abbas Malek HosseiniInequality in development among different cities has recently been under consideration of regional planning’s culture, and it is yet to be known in our country. It might look easy to comment on the development and backwardness of different regions, but quantitativ MoreInequality in development among different cities has recently been under consideration of regional planning’s culture, and it is yet to be known in our country. It might look easy to comment on the development and backwardness of different regions, but quantitative measurement of the development cannot be considered a simple work. The purpose of this article is to determine the development level of cities in Hamedan province and also to analyze regional inequalities in this province. The research method used in this article is descriptive – analytical and the five indicators including; healthcare, social, cultural, educational, economical (agricultural – animal husbandry), and demographic structural occupation and infrastructural urban services have been studied. To determine the assumptions of the research and level of development of the cities, fuzzy logic techniques have been used. The fuzzy model has been designed in three phases to estimate the level of the development of cities each year. In the next stage, the trends of spatial inequalities for cities have been specified by Williamson’s differential coefficient model using the outputs of the fuzzy model. The level of development over 13 years (1380 – 1393) indicates that Hamedan with a developmental index of 0.65 is considered as the most developed city and Famenin with a development index of 0.29 is determined as the least developed one. The Pattern of the structure governing Hamedan region is determined as center- environs which requires authorities’ special attention to the equal distribution of facilities in the cities of the northern part of the province. Manuscript profile -
Open Access Article
131 - Evaluation and Analysis of Immediate Areas of Nikshahr to Determine Appropriate Aspects of Physical Development
Gholam ali Khamar nahid baloochOne of the most important issues of the city and urbanization in Iran is the analysis of physical growth and development of the city and urbanization. In this regard, the overall goal of urban planning is to ensure the well-being of the people by creating a better, heal MoreOne of the most important issues of the city and urbanization in Iran is the analysis of physical growth and development of the city and urbanization. In this regard, the overall goal of urban planning is to ensure the well-being of the people by creating a better, healthier, more effective and more pleasant environment. Therefore, land suitability analysis for urban development and identification of suitable priority lands for physical development is very urgent. Thus, the purpose of this study is to investigate the physical development of Nikshahr with emphasis on urban spread, to identify the factors affecting the physical development of the city, to recognize the capabilities and limitations of physical development of the city and to provide appropriate solutions for principled and practical planning and the physical development of the city. The methodology of the present study is descriptive-analytical and based on library, documentary and field studies, and Arc GIS software and fuzzy logic method in GIS environment have been used for data analysis. The results indicate that the main natural feature of Nikshahr is the heights, rivers and their sub-branches, which have caused the city to take a linear shape and extend along the southwest to the northeast. On the other hand, the heights in the north and parts of the south of the city and also in an area of the western body of the city have caused the city not to develop and expand in a north-south direction. Finally, it should be noted that the unplanned growth of Nikshahr can cause many problems, and on the contrary, the efforts for vertical and intelligent growth can lead to sustainable development. Manuscript profile -
Open Access Article
132 - Locating the optimal model of urban green space using Fuzzy Logic and AHP,By GIS. Case study: the city of Mashhad
Davod Hatami Zahra Arabi Esmail RahmaniToday, with respect to the role and importance of urban green space in urban life and its physical stability and effectiveness of urban systems and benefits in different ecological, social and economic, it is undeniable to use green space per capita in urban areas MoreToday, with respect to the role and importance of urban green space in urban life and its physical stability and effectiveness of urban systems and benefits in different ecological, social and economic, it is undeniable to use green space per capita in urban areas as one of the basic issues in planning and urban management. Urban green space, including land use and distribution that it is important in the Mashhad city, including the cities of the status of green space, is not appropriate; so that based on the findings, the average green space per capita in Mashhad is 5.51, m , while the standard MHUD is 12 square meters per capita . Therefore, it has suggested, there seems to exist a huge gap. However, its spatial distribution is very unbalanced and disproportionate. Green space areas such as Samen with 1.2, square meters and 21 square meters has per capita area of only seven. The method of this study was descriptive-analytic and theoretical-practical. The nature shows that, contrary to national and international standards for green space, the green space in the city is very low and its spatial distribution in twelve areas in Mashhad, is also facing a severe failure and is not balanced in this regard. In this study for analysis to determine the optimum location of green space model layers required Logic Fuzzy, AHP and means nearest neighbor were used for the operation of the software of ARC / GIS and Expert choice. Five spectra of very good, good, fair, poor and very poor were recognized. Then the act of prioritizing was rendered. Manuscript profile -
Open Access Article
133 - Localization Method for Wireless Sensor Networks Using Nero-Fuzzy
Ahmad Javan bakht Abolghasem Alibeiki -
Open Access Article
134 - Thickness Measuring of Thin Metal by Non Destructive with Fuzzy Logic Control System
Sayed Ali Mousavi -
Open Access Article
135 - Controlling Electrochemical Machining By Using a Fuzzy Logic Approach
Morteza Sadegh Amalnik -
Open Access Article
136 - Location-aware News Recommendation System with Using Fuzzy Logic
Mehdi Nejati Hamid Tabatabaee Mehrdad Jalaliwith release of a huge amount of news on the Internet and the trend of users to Web-based news services.it is necessary to have a recommendation system. To grab attentions to news, news services use a number of criteria that called news values and user location is an im Morewith release of a huge amount of news on the Internet and the trend of users to Web-based news services.it is necessary to have a recommendation system. To grab attentions to news, news services use a number of criteria that called news values and user location is an important factor for it. In this paper, LONEF is proposed as a tow stage recommendation system. In first stage news are ranked by user’s locations and in second stage news are recommended by location Preferences, recency, Trustworthiness, groups priorities and popularity. To reduce ambiguity these properties is used tow Mamdani fuzzy interference and case-based decision systems. In Mamdani fuzzy interference system, it is tried to increase the system speed by optimizing selection of rules and membership functions and because of ambiguous feedback implementation, a decision making system is used to enable better simulation of user’s activities. Performance of our proposed approach is demonstrated in the experiments on different news groups. Manuscript profile -
Open Access Article
137 - Optimal Unit Commitment for Thermal Power Plants using Combined Fuzzy Logic and Shuffled Frog Leaping Algorithm Method
Hasan Barati Esmaeil Fathi Mohammad NasirOptimal Unit Commitment for Thermal Power Plants using Combined Fuzzy Logic and Shuffled Frog Leaping Algorithm MethodIn this paper, the thermal unit commitment is solved by using combined fuzzy logic and Shuffled Frog Leaping Algorithm, in which the minimum and maximum MoreOptimal Unit Commitment for Thermal Power Plants using Combined Fuzzy Logic and Shuffled Frog Leaping Algorithm MethodIn this paper, the thermal unit commitment is solved by using combined fuzzy logic and Shuffled Frog Leaping Algorithm, in which the minimum and maximum generation constraints, minimum up/down-time constraints, starting time, spinning reserve,and so on are considered. Fuzzy logic is used to reduce the production time of the ON/OFF cycle durations of each unit in the feasible solutions. Shuffled Frog Leaping Algorithm is used to optimize the results. Using the proposed method reduces the computation time and also the generation cost. The simulation has been done in the MATLAB software environment, and as its results compared with some other intelligent algorithms including Lagrange Relaxation (LR), Integer-Coded Genetic Algorithm (GA) and Bacterial Foraging (BF) for improvements in generation cost and problem solving time is shown. This method has the ability to develop solving unit commitment in different dimensions with considering constraints and limits. Manuscript profile -
Open Access Article
138 - A New QoS-Based Routing Protocol for Video Streaming in VANETs Using ACO Algorithm and Fuzzy Logic
Mohammad Vafaei Ahmad Khademzadeh Mohammad Ali PourminaThe multi-path transmission is an appropriate transmission method for high data rate packets like video streaming. To provide video streaming with high quality, the video packets are divided into different frames for transmitting through various paths. Nevertheless, reg MoreThe multi-path transmission is an appropriate transmission method for high data rate packets like video streaming. To provide video streaming with high quality, the video packets are divided into different frames for transmitting through various paths. Nevertheless, regarding the results of numerous inherent features of vehicular ad-hoc networks (VANETs), designing an efficient and stable routing protocol is difficult for various applications of VANETs. In particular, the dynamic nature of topology and intermittent connectivity make maintaining the quality of service (QoS) task very difficult. To provide QoS to entertainment applications and traffic safety in VANET, we offer a routing protocol based on the adaptive intersection with QoS support regarding delay, packet delivery ratio (PDR), and connectivity probability. To establish the best QoS routes, we considered the equivalent routing problem as the optimization problem and then proposed an algorithm based on ant colony optimization (ACO) for solving it. Furthermore, a fuzzy logic-based algorithm was employed to select the best next-hop vehicle by incorporating multiple metrics associated with the vehicle’s position, link quality, and vehicle mobility. According to the simulation results, the proposed approach achieves the average PDR of more than 84.2%, the end-to-end delay of less than 3.58 s, the overhead of less than 15.65%, and the peak signal to noise ratio (PSNR) of more than 20.82 dB. It is understandable from the result analysis that the performance of the proposed approach is excellent. Manuscript profile -
Open Access Article
139 - Damping Torsional Torques in Turbine-Generator Shaft by Novel PSS Based on Genetic Algorithm and Fuzzy Logic
Abbas Shoulaie Mohammad Bayati-Poudeh Ghazanfar ShahgholianTorsional torques on turbine-generator shaft which are yields of disturbances in power systems, can reduce the useful lifetime of shaft. In this paper, these oscillations will be damped and controlled by novel Power System Stabilizers (PSSs). Complex PSS which is used i MoreTorsional torques on turbine-generator shaft which are yields of disturbances in power systems, can reduce the useful lifetime of shaft. In this paper, these oscillations will be damped and controlled by novel Power System Stabilizers (PSSs). Complex PSS which is used in this paper will act on the excitation system in generator set and also on the controller of in High Voltage Direct Current (HVDC) system. This PSS uses three terms (generator angle deviation, frequency oscillation and capacitor voltage deviation in HVDC system) of the study system which includes two ties AC and DC. This is the reason that this PSS is named novel one against the conventional PSSs. In order to adjust the PSS parameters to damp the oscillations, genetic algorithm is used. To improve the application of this PSS, fuzzy logic control methods are also used which has notable effect on controlling the oscillations in study system. The simulation results show the effectiveness of designed PSS in controlling the torsional torques in turbine-generator shaft. Manuscript profile -
Open Access Article
140 - Fuzzy Second Order Sliding Mode Speed Observer for a Synchronous Reluctance Motor with Predictive Control
Sara Saberian BorojeniIn this paper, the torque error signal and the amplitude of the stator flux reference vector are delivered to a PI predictive controller. The predictive controller also uses information on the amplitude and position of the actual stator flux vector and measured stator c MoreIn this paper, the torque error signal and the amplitude of the stator flux reference vector are delivered to a PI predictive controller. The predictive controller also uses information on the amplitude and position of the actual stator flux vector and measured stator currents to determine the voltage command vector for space vector modulation inverter, a conventional PI speed controller is used to generate the torque reference signal. A second order sliding mode observer issued to perform accurate tracking of the motor speed. Soft computing technique, Fuzzy logic, is applied in this paper for the estimation of the observer parameters. Simulation results show the effectivness of the proposed control method. Manuscript profile -
Open Access Article
141 - Improvement of Performance Range of Centrifugal Compressors Gas by Surge Line Modification Using Active Controller Based on Fuzzy Logic
Pezhman Mohammadi Maryam Jedi Farid Sheikholeslam Mostafa GhayourIn this work, surge of prevention is a critical problem in oil and gas industries, particularly when return gas flow or gas flow reduces in transportation of gas pipelines. This paper is illustrated new results about surge control of centrifugal compressors .surge pheno MoreIn this work, surge of prevention is a critical problem in oil and gas industries, particularly when return gas flow or gas flow reduces in transportation of gas pipelines. This paper is illustrated new results about surge control of centrifugal compressors .surge phenomenon is flow unsteady state in compressors which causes damages seriously in compressor construction. Furthermore, it also demonstrates in comparison with anti surge control ،active surge control expands stability range.Active surge control which based on fuzzy logic،is the main idea that used in this investigation. Using fuzzy controller causes an improvement in compressor's condition and increase performance range of the compressor, in addition to prevention of any instability in compressor. The simulation results is also satisfactory. Manuscript profile -
Open Access Article
142 - Detection of Stator Winding Fault in Induction Motor Using Fuzzy Logic with Optimal Rules
Hamid Fekri Azgomi Javad PoshtanInduction motors are critical components in many industrial processes. Therefore, swift, precise and reliable monitoring and fault detection systems are required to prevent any further damages. The online monitoring of induction motors has been becoming increasingly imp MoreInduction motors are critical components in many industrial processes. Therefore, swift, precise and reliable monitoring and fault detection systems are required to prevent any further damages. The online monitoring of induction motors has been becoming increasingly important. The main difficulty in this task is the lack of an accurate analytical model to describe a faulty motor. A fuzzy logic approach may help to diagnose traction motor faults. This paper presents a simple method for the detection of stator winding faults (which make up 38% of induction motor failures) based on monitoring the line/terminal current amplitudes. In this method, fuzzy logic is used to make decisions about the stator motor condition. In fact, fuzzy logic is reminiscent of human thinking processes and natural language enabling decisions to be made based on vague information. The motor condition is described using linguistic variables. Fuzzy subsets and the corresponding membership functions describe stator current amplitudes. A knowledge base, comprising rule and data bases, is built to support the fuzzy inference. Simulation results are presented to verify the accuracy of motor’s fault detection and knowledge extraction feasibility. The preliminary results show that the proposed fuzzy approach can be used for accurate stator fault diagnosis. Manuscript profile -
Open Access Article
143 - Enhancing Recruitment Efficiency: Leveraging Fuzzy Logic Optimization for Effective Skill Management in Human Resources
Farideh Majidi Maryam Khademi -
Open Access Article
144 - A Novel Selfish Node Detection Based on Fuzzy System and Game Theory in Internet of Things
Gholam Hossein Abdi Amir Hosein Refahi Sheikhani Sohrab Kordrostami Shahram Babaie -
Open Access Article
145 - The Factors Affecting Human Resources Productivity in Urban Construction Projects A Comparison of Relative Importance Index and Fuzzy Logic Methods
Mobin Yarahmadi Mohammad Mirhoseini Mehdi Komasi Mohammad Ehsanifar -
Open Access Article
146 - Combination of IT and Fuzzy Logic in Presenting a New Method for Educational Evaluation (Case Study: Teaching Mathematics)
Saeed Ayat Elham Horri NajafabadiEvaluation has always been a time- consuming, expensive and important process in educational systems. In addition, reliable outcome cannot be achieved unless we use appropriate criteria. In this research, a system using Fuzzy logic criteria was proposed for the evaluati MoreEvaluation has always been a time- consuming, expensive and important process in educational systems. In addition, reliable outcome cannot be achieved unless we use appropriate criteria. In this research, a system using Fuzzy logic criteria was proposed for the evaluation of faculty members' teaching performance. Fuzzy logic is considered as a modern method of inference which is used for different purposes as a powerful instrument when combined with computer. In this research, we first gathered required information from experienced faculty members and those with enough information about new educational technology. Then, efficient methods of teaching mathematics at undergraduate level as the case study have been studied and analyzed using new methods and Fuzzy logic. Finally, with the help of the researches done, a Fuzzy system for educational evaluation was designed and was applied with MATLAB software. The results of the evaluation showed that using the proposed system (in this case study) more efficient evaluation on faculty members' teaching performance would be possible. Also, they can increase and improve the productivity of teaching procedures using this system. Furthermore, this research showed that evaluation errors would decrease using Fuzzy inference. Manuscript profile -
Open Access Article
147 - بهینهسازی یادگیری زبان با تاپسیس
ترانه جوانبخت -
Open Access Article
148 - A Fuzzy Based Decision Support System For Supply Chain Disruption Management
Fariba Salahi Hossien Amoozad-khalili Amir Daneshvar Behnam Barzegar -
Open Access Article
149 - Fuzzy Threat Assessment on Service Availability with Data Fusion Approach
Amin Sardeh Moghadam Behzad Moshiri -
Open Access Article
150 - Evaluation of reliability of object-oriented systems based on Cohesion and Coupling Fuzzy computing
Samira Kalantari Masoomeh Alizadeh Homayoun Motameni -
Open Access Article
151 - A Routing Algorithm based on Fuzzy Clustering and Minimum Cost Tree (FCMCT) in Wireless Sensor Network
Maryam Javaherian Abolfazl T.Haghighat -
Open Access Article
152 - A Parallel Implementation of Modified Fuzzy Logic for Breast Cancer Detection
Farnaz Hoseini Asadollah Shahbahrami Anaram Yaghoobi Notash Peyman Bayat -
Open Access Article
153 - Analysis of urban vulnerability criteria's in possible disaster Case Study: Bijar City
M.R. rezaei مهدی alian A.R asgariDiscussion of disaster management in disasters is important issues in urban planning, and recognizing the vulnerability of different parts of the city, seem to be necessary. It should be accepted that always a percentage of crises are inevitable, but the vast majority o MoreDiscussion of disaster management in disasters is important issues in urban planning, and recognizing the vulnerability of different parts of the city, seem to be necessary. It should be accepted that always a percentage of crises are inevitable, but the vast majority of threats, disaster and inflammation are imposed and before the outbreak, those must be forecast and prevented with investigation and correct management. This research to achieve accurate perspective on disaster management and prevention of surprise managers, as a first step and the basis for management decisions, identifies and analyzes the vulnerability situation of Bijar city. This study has been done with uses the data of blocks in 1390 and eight criteria's, quality of buildings, construction materials, number of stories, old buildings, plots area, level of occupancy rate, population density and land with fuzzy approach. The results show that very high vulnerability tissues are located in central and southern parts of the Bijar city. These areas partially are based on old and worn out tissues of the city and may have been exposed to the greatest risks when probable disaster. In Bijar city Tzeabad and Almasieh neighborhoods than other neighborhoods are in higher vulnerability. It should be noted that, while the eastern and northern neighborhoods of the city, including neighborhoods Takhte olia, Takhte sofla and Lower, less vulnerable than other neighborhoods, but are far until u desirable and ideal situation. Manuscript profile -
Open Access Article
154 - Flood risk zoning in Fariman city using fuzzy logic
sanaz saeedi mehdi asiaeiOne of the most important natural hazards is floods, which will cause a lot of damage if they occur. One of the most important ways to deal with this natural hazard is to zoning the flood potential. The present study was conducted with the aim of zoning the risk of floo MoreOne of the most important natural hazards is floods, which will cause a lot of damage if they occur. One of the most important ways to deal with this natural hazard is to zoning the flood potential. The present study was conducted with the aim of zoning the risk of floods in Fariman city with emphasis on urban and rural areas in 1399. This type of research is an applied type in which fuzzy logic, hierarchical analysis and GIS software are used. The eight criteria studied in this paper include slope, distance from the river, altitude, geology, land use, rainfall, drainage density and vegetation. Based on the results obtained from the combination of layers by fuzzy overlap method and the final weight obtained from the fuzzy hierarchy analysis model, in which the height variable with a weight coefficient of 0.271 is the highest and land use with a coefficient of 0.040 has the lowest impact on flooding. The study area has. Therefore, according to the flood risk classification map of Fariman city, it can be stated that very high risk areas 17.8%, high risk areas 14.2%, medium risk areas 20.4%, low risk areas 22.5% and areas with high risk Occupies very little risk with 25.1% of the city area; It should also be noted that the city of Freeman is in a very low danger zone. In terms of rural settlements, most of the settlements in this city are in the zone of moderate vulnerability. Therefore, it is suggested that the necessary attention be paid to the improvement, design and implementation of watershed and aquifer management projects and the location of new cities and towns, as well as rural development projects in the study area. Planners and decision makers should also take the necessary action to reduce the risk of proper location of infrastructure and location of city facilities. Manuscript profile -
Open Access Article
155 - Location selection and analysis of higher education uses using geographic information system (GIS) and multi-criteria decision analysis (MCDA) (case study: Babol city)
Mohammad Shafee Tilaki Sadrodin Motevalli gholam reza janbaz ghobadi Bizhan RahmaniIntroductionHigh education institutess are a key factor in the educational process. Centers that have a suitable location and are designed in a systematic program help the development of urban society in a suitable and efficient way. However, site selection of the high MoreIntroductionHigh education institutess are a key factor in the educational process. Centers that have a suitable location and are designed in a systematic program help the development of urban society in a suitable and efficient way. However, site selection of the high education centers, including Azad University, is a complex issue that involves many evaluations (technical, political, social, environmental and economic).GoalThe most important goal of the research is to implement the correct and appropriate model for the location of higher education centers for the effectiveness of uses in the city.MethodologyThis research is applied in terms of purpose and descriptive-analytical and field in terms of method and nature, and the final weight of the criteria in preparing the location map was calculated using fuzzy hierarchical multi-criteria decision-making analysis. Based on this and by applying the weights of each criteria in the ArcGIS environment, the suitability of the lands of Babol city for the establishment of new higher education centers with an emphasis on the Islamic Azad University was determined.Geographical area of researchBabol City is located in Babol Township of Mazandaran Province.There are 18 high education institutes (including universities and high education institutes) in this city.Results and discussionAccording to the opinion of experts, the criterion of the distance from flood-prone areas is the first priority with a relative weight of 0.098, and the land value criterion is the last priority with a relative weight of 0.035 to influence the optimal site selection of the high education institutes. According to the site selection map of high education institutes in Babol, the most suitable land for creating these centers is in the southwest and west part of the city and in the area of Farhangian, Nilufer, Azadegan, Taleghani and Andisheh complexes, as well as the current location of the Islamic Azad University of Babol branch.ConclusionThere are three important points in choosing the location of university units with a sustainable development approach:1)Identifying the effects of the components of location and spatial distribution of high education; 2)Identifying the effects of the components of the stakeholders' satisfaction with high education; 3)Identifying the effects of the spatial components of high education site selection. Manuscript profile -
Open Access Article
156 - Assessment of Erodibility and Desedimentation in Pileh Rood Watershed in "Ardabil" with Fuzzy Technique
Rasol Samadzadeh Sharareh HaddadyIn the end of the eastern side of Azerbaijan volcanic plateau, in the altitudes of Sabalan and Baghrodagh, there is a relatively closed structural depression and pit called Ardabil plain that all surrounding altitudes are directed toward it. Different structure with va MoreIn the end of the eastern side of Azerbaijan volcanic plateau, in the altitudes of Sabalan and Baghrodagh, there is a relatively closed structural depression and pit called Ardabil plain that all surrounding altitudes are directed toward it. Different structure with various resistance rates, enjoying cold semidried climate, the lack of vegetation coverage, and the dominant negative trends on a extensive part of mountain plain of the areas have caused these areas especially the naturally formed watersheds in them to have a relatively high Erosibility power. The main purpose of present study is the evaluation of erosion and erosion Desedimentation in Pileh Rood watershed as one of sub _basins of folding altitudes of Namin located in northern side of Ardabil. In this study, in addition to aerial photography at the scale of 1: 55,000, topographic maps scale of 1: 50,000 and geology map 1:100000 filed erosion and sedimentation are measured by logic fuzzy method. Finally, this technique was compared with empirical method of P.S.I.A.C and the given erosion limits was evaluated and compared through observations and field work. Using fuzzy modeling with minimum input data by the two -variable model and comparing it with P.S.I.A.C model it was concluded that the fuzzy logic - soil erosion prediction models are efficient at locating and differentiating areas of soil erosion with minimum input data. Manuscript profile -
Open Access Article
157 - Application of Fuzzy logic to investigate Slope Mass Rating (SMR) in Khoy open-pit mining projects
Mir Akbar Seyed Hamzeh -
Open Access Article
158 - Optimization of Mobile Base Station Placement to Reduce Energy Consumption in Multi-hop Wireless Sensor Network
Gholamreza Farahani Ameneh FarahaniNowadays, wireless sensor networks (WSNs) are widely used in different sectors. The problem in these networks is the non-rechargeable batteries of these sensors, which limit the lifetime of the network. Therefore, the optimal energy consumption of sensors is an open res MoreNowadays, wireless sensor networks (WSNs) are widely used in different sectors. The problem in these networks is the non-rechargeable batteries of these sensors, which limit the lifetime of the network. Therefore, the optimal energy consumption of sensors is an open research topic. In this paper, a new algorithm with the Development of Genetic Algorithm with the Floyd Warshall (DGAFW) has been proposed. Using the proposed DGAFW algorithm, the number of clusters and nodes assigned to each cluster is first determined with the Floyd Warshall algorithm and then the Cluster Head (CH) is selected using fuzzy logic. Finally, the optimal placement of the base station is specified by the combination of the Genetic Algorithm and the Floyd Warshall. The DGAFW algorithm is based on minimizing the distance of sending multi-hop messages. The simulation is carried out in MATLAB 2023a online software. The simulation results obtained from the DGAFW algorithm have been compared based on the distance, the amount of remaining energy in each round, and the number of rounds of network activity in the case where the location of the base station is fixed or randomly determined in each round. The results obtained show that the DGAFW algorithm compared to the case of random base station and fixed station respectively, has 12.7% and 14.3% shorter average message-sending distance in each round, 14.7% and 19.1% more residual energy and also 36% and 48% more rounds of network activity. Manuscript profile -
Open Access Article
159 - Multi-objective design of fuzzy logic controller in supply chain
Mahdi Ghane Mohammad Jafar Tarokh Jafar Tarokh -
Open Access Article
160 - Development of a weighted leanness measurement method in modular construction companies
Saba Shams Bidhendi Steven Goh Andrew Wandel -
Open Access Article
161 - A multi-period distribution network design model under demand uncertainty
Babak H Tabrizi Jafar Razmi -
Open Access Article
162 - Strategy-aligned fuzzy approach for market segment evaluation and selection: a modular decision support system by dynamic network process (DNP)
Ali Mohammad i Nasrabadi Mohammad Hossein Hosseinpour Sadoullah Ebrahimnejad -
Open Access Article
163 - Efficacy of fuzzy MADM approach in Six Sigma analysis phase in automotive sector
Rajeev Rathi Dinesh Khanduja S. K. Sharma -
Open Access Article
164 - A hybrid computational intelligence model for foreign exchange rate forecasting
M Khashei F Mokhatab Rafiei M Bijari S.R Hejazi -
Open Access Article
165 - Fuzzy model for risk analysis
F Luban -
Open Access Article
166 - A neuro-fuzzy approach to vehicular traffic flow prediction for a metropolis in a developing country
L Ogunwolu O Adedokun O Orimoloye S.A Oke -
Open Access Article
167 - Measuring and modeling heavy metals (Ni,Pb,Cd,Co,Hg) in seashore sediments of Asaluyeh Region ( Nayband Gulf)
E. Ghazi M. Kashefi AslThis research intends to study the rate of accumulation of heavy metals and calculate the rate of pollution of seabed sediments in sampling and analyses as a result of large industrial activities in Asaluyeh region. The in Asaluyeh region in the Persian Gulf, due to its MoreThis research intends to study the rate of accumulation of heavy metals and calculate the rate of pollution of seabed sediments in sampling and analyses as a result of large industrial activities in Asaluyeh region. The in Asaluyeh region in the Persian Gulf, due to its exceptional position, where a great number of gas refineries and petrochemical plants are established, is directly or indirectly exposed to different organic and mineral pollutants. Taking into consideration the position of the region, this study was conducted in 2013 in 10 stations, to study the pollution resulting from the heavy metals of Cobalt, Cadmium, Lead, Nickel, and Mercury. Sediment samples were collected by Ekman Grab and measurements were made by a furnace atomic absorption device. Furthermore, the obtained data were modeled with fuzzy logic. The comparison of the results obtained from modeling with the data resulting from lab measurements, indicates the suitable efficiency of fuzzy logic in forecasting the quantities of heavy metals density. Manuscript profile -
Open Access Article
168 - Computational Intelligence Methods for Facial Emotion Recognition: A Comparative Study
Fatemeh Shahrabi Farahani Mansour Sheikhan -
Open Access Article
169 - Evolutionary Interval Type-2 Fuzzy Rule Learning Approaches for Uncertain Time-Series Prediction
Aref Safari Rahil Hosseini -
Open Access Article
170 - Coordination Between the Automatic Voltage Regulator and Output of the Power System Stabilizer to Increase the Stability Improvement
Majid Salesi-Mousaabadi Ghazanfar Shahgholian -
Open Access Article
171 - Ranking Corporate Governance Using Fuzzy Logic in Accepted Companies the Tehran Stock Exchange
Majid Abdullahi Ali Esmaeil ZadehAbstract In recent years, the support of corporate governance has attracted the attention of capital market regulatory bodies, including the stock exchange. In this regard, the corporate governance index has been taken into consideration as a monitoring tool for compan MoreAbstract In recent years, the support of corporate governance has attracted the attention of capital market regulatory bodies, including the stock exchange. In this regard, the corporate governance index has been taken into consideration as a monitoring tool for companies so that companies that better comply with corporate governance mechanisms can be distinguished from companies that do not comply with these mechanisms. On this basis, companies should try to improve these mechanisms and take more effective steps to create more efficiency and value and thus improve the conditions of the capital market. In this research, an attempt is made to use a new index under the title of fuzzy corporate governance index, and according to expert opinion and formulation of fuzzy inference rules, three fuzzy expert systems have been designed to evaluate corporate governance criteria. Also, the data related to 160 companies admitted to the Tehran Stock Exchange as a sample have been collected and their data has been processed using the aforementioned fuzzy systems. The output of the first system shows the quality of the ownership index and transparency in the sample companies. The output of the second system shows the quality of the board structure index and finally the output of the third system shows the quality of corporate governance in the mentioned companies. The results of these evaluations are shown in a list of the weakest and best companies in terms of ownership and transparency, the structure of the board of directors, and the quality of corporate governance. Manuscript profile -
Open Access Article
172 - An Application of Fuzzy TOPSIS Method for Plant Selection in Rangeland Improvement (Case Study: Boroujerd Rangeland, Lorestan Province, Iran)
Ali Ariapour Farzad Veisanloo Marzieh Asgari -
Open Access Article
173 - Modeling the coaching process in improving human resource training in the Social Security Organization
Amir ali Setayesh sarvar Hadi Hematian SayyedMohammed zargarCoaching is one of the methods of staff training that is used for the growth of human resources. On the basis of the present research to identify and prioritize the factors affecting social security organizations have managed to improve education. This research is in ap MoreCoaching is one of the methods of staff training that is used for the growth of human resources. On the basis of the present research to identify and prioritize the factors affecting social security organizations have managed to improve education. This research is in applied research category. The research sample is 16 coaching and training experts. In the next phase of the procedure for considering the uncertainty of Non-rank compared Electre Tuesday to increase the priority was used. Based on the results, reducing information and motivational barriers, respectively; The reduction of content barriers and the reduction of structural barriers are in the first to third ranks. According to the PLS results, if the coaching process index increases by one unit, the training process will increase by 0.849 units. According to the results of the process of the effect of coaching on training is a multidimensional process and coordination between the processes of manpower needs assessment (reduction of information and motivational barriers), planning (reduction of content barriers) and implementation and evaluation (reduction of structural barriers), the effectiveness of training courses The coaching process builds more. Manuscript profile -
Open Access Article
174 - Evaluating and ranking the indicators affecting Business Process Re-engineering (BPR) in order to improve the efficiency of manufacturing industries by using FANP method
yasser saeiThe meaning of BPR is that we overview and breakdown current business process. This method, by using more efficient processes, enables your company to decrease costs and increase profitability.This research has been attempted to evaluate and ranking the indicators which MoreThe meaning of BPR is that we overview and breakdown current business process. This method, by using more efficient processes, enables your company to decrease costs and increase profitability.This research has been attempted to evaluate and ranking the indicators which are effective on BPR, in order to improve efficiency of industries by using fuzzy ANP combined methodology. The study population of this research can be classified into two general groups: first group is the masters of university who are expert in BPR, second group is experts working in manufacturing industries. Actually the sampling method in this research is a combination of targeted non-probability sampling method and snowball sampling. Due to the nature of the sampling method, finally the sample volume of this study is equal to 30 person of Experts available and willing to cooperate. Due to the finall analysis and prioritizing criteria, it is visible that “technological and educational factors” with final weight of 0.252; “Empowerment” with weight of 0.177; “organizational culture” with weight of 0.122; has been defined as the most important ANP integrated model criteria for BPR in order to improve the efficiency of manufacturing industries. Manuscript profile -
Open Access Article
175 - Investigating the Calendar Effect of the Holy Month of Ramadan on the Capital Market: a Fuzzy Group Decision-making Approach
Abdollah Noori Ata-o-llah Mohammadi Molgarni Iraj NorveshAbstract In recent years, investors have realized that there are a number of irregularities (calendar effects) in the capital market through which additional returns can be obtained. In calendar irregularities, time is the factor that affects the capital market. Such e MoreAbstract In recent years, investors have realized that there are a number of irregularities (calendar effects) in the capital market through which additional returns can be obtained. In calendar irregularities, time is the factor that affects the capital market. Such effects are called calendar effects. Therefore, the purpose of this study is to identify and analyze the calendar effect of the holy month of Ramadan on the most important features of the capital market. The research method is applied in terms of purpose and descriptive-survey based on the nature and research method. The statistical population of this study includes university professors of accounting, analysts and trading experts in the Iranian capital market. In this study, using the research background and referring to eight experts and interviewing them, 6 indicators were identified as important features of the capital market that can be affected by the calendar effect of the holy month of Ramadan. Then, using 14 questionnaires, experts were asked to determine the causal relationships of these indicators. Finally, in order to explore the network of cause and effect relationships, to determine the degree of effectiveness and impact of each of the indicators and their prioritization, fuzzy hierarchical analysis, fuzzy dimtel approach and fuzzy TOPSIS were used. According to the results, capital risk is the most important indicator. This result indicates that this indicator is subject to severe changes during the holy month of Ramadan and it is necessary to pay attention to it. Then the indicators of trading volume, unsystematic risk, share return, liquidity risk and adjusted beta are important, respectively. Also, trading volume was recognized as the most effective indicator. Therefore, trading volume has a greater impact on other indicators. Also, non-systematic risk was identified as the most effective indicator. Manuscript profile -
Open Access Article
176 - Designing a Fuzzy Smart System for Energy Conservation for Common Sustainable Smart Home
Vahid Ghobadian seyed omid Fatemi Behrouz MansouriIran is a vast country rich with energy resources. Perhaps, such unlimited energy resources were the reason to keep us in a dream of abundance, and as a result, neglecting justifiable energy conservation. Buildings are one of the main energy consumption and waste source MoreIran is a vast country rich with energy resources. Perhaps, such unlimited energy resources were the reason to keep us in a dream of abundance, and as a result, neglecting justifiable energy conservation. Buildings are one of the main energy consumption and waste sources, and regretfully, still many of them are constructed violating modern engineering rules and solely through experimental and traditional methods. Air conditioning systems are still calculated and designed using estimation. However, we have to know such methods are obsolete in developed countries since ages ago, and we shall commence with a new determination and effort right away if we would like to reach the Global trend. Fortunately, many of the ways have been taken before us, and have certain instructions. In late 20th century and upon development of smart technologies, development of communication and internet networks, sensor networks and sensors, extensive efforts and studies started to use such group of technologies to present solutions to improve humans lives. Using IOT to control the house smartly has been one of the study fields during recent years. The suggested method tries to improve the house smart control for energy conservation. The used sensors are heat and humidity sensors with the duty of monitoring smart home. In this article we plan to suggest optimized smart method to control smart sustainable common home relays smartly. The sensors data is entered into the sustainable common home smart control system and is on/off considering the house relays smart systems algorithm. Manuscript profile -
Open Access Article
177 - An Improved MPPT Method of Wind Turbine Based on HCS Method by Using Fuzzy Logic System
Shahram Javadi Mohammad Hossein Hazin -
Open Access Article
178 - Efficiency Improvement of Induction Motor using Fuzzy-Genetic Algorithm
Sadegh Hesari Mohammad Bagher Naghibi Sistani -
Open Access Article
179 - Power Stabilizer Performance Based On Fuzzy Controller Compared To PID Controller
Abbas Seif -
Open Access Article
180 - Reliability Assessment of Power Generation Systems in Presence of Wind Farms Using Fuzzy Logic Method
Shohreh Monshizadeh Mahmoud Reza Haghifam Ali Akhavein -
Open Access Article
181 - Design of Fuzzy Logic Based PI Controller for DFIG-based Wind Farm Aimed at Automatic Generation Control in an Interconnected Two Area Power System
Arman Oshnoei Morteza Kheradmandi -
Open Access Article
182 - A New Highly Controllable and Accurate Algorithm for Defuzzifier Circuit Implementation
M Ranjbar F Razaghian -
Open Access Article
183 - Evaluation of Optimal Fuzzy Membership Function for Wind Speed Forecasting
Shahram Javadi Zeinab Hojjatinia -
Open Access Article
184 - Investigating and Improving the Uncertainty of Control Systems Using Fuzzy Differential Equations
Fateme Arab -
Open Access Article
185 - An Overview of Fuzzy Inference Algorithms
Omid Feizollahzade -
Open Access Article
186 - An Approach for Accurate Edging using Dynamic Membership Functions
Fatemeh Khosravi Pourian Reza Sabbaghi-Nadooshan -
Open Access Article
187 - Design of Maximum Power Point Tracking in Solar Array Systems Using Fuzzy Controllers
Marjaneh Hashemi Shahram Javadi -
Open Access Article
188 - Design and Explain Stock Market Liquidity Model of Product Market Competition Based on Adaptive Econometric Model and Fuzzy Logic Approach
hassan Heydari Sultan Abadi hossein panahianOne of the risks associated with a company's stock is liquidity. Stock with high liquidity are attractive to shareholders and investors and increase demand. Stock liquidity is one of the most effective measures of market efficiency, especially in terms of information an MoreOne of the risks associated with a company's stock is liquidity. Stock with high liquidity are attractive to shareholders and investors and increase demand. Stock liquidity is one of the most effective measures of market efficiency, especially in terms of information and is widely used in examining the factors affecting the supply of useful information. in this study, we designed and explained the stock liquidity model with respect to the product competition component. To select the sample, all companies listed in Tehran Stock Exchange from 2007 to 2019 are surveyed. not eligible were removed. Ten main variables affecting liquidity based on previous research were entered into the research model and the hypotheses were tested using regression model. Then, stock liquidity model was introduced through teaching and learning in Fuzzy neural network, which is an analytical-mathematical research method. The prediction obtained from fuzzy neural network is very accurate due to the comprehensive search method and the final model is confirmed with adjusted coefficient of determination of 77%. According to the results, liquidity depends on five influential factors including stock return, firm size, investment opportunity, Herfindahl Hirschman index and Lerner index Manuscript profile -
Open Access Article
189 - Designing an evaluation model for credit rating of Islamic securities with a Adaptive Neuro-Fuzzy network approach
Mohammad Shabani varnami Hosein Didehkhani Ali khozain arash naderianThe purpose of this research is designing a credit rating model for issuers and tools for financing Islamic securities in the Iranian capital market. To do this, three major steps were taken. The first step was to identify the evaluation criteria or the risks associated MoreThe purpose of this research is designing a credit rating model for issuers and tools for financing Islamic securities in the Iranian capital market. To do this, three major steps were taken. The first step was to identify the evaluation criteria or the risks associated with the Islamic securities, which was carried out by the experts and a review of theoretical basics. The second step, is modeling of Islamic securities using adaptive-network-based fuzzy approach in which the mean error of the training of all main and subset models was below the threshold. The third step is to apply adaptive fuzzy neural network modeling in credit rating of Islamic securities. In order to do this, the issuer’s ranking was used in the first stage and the results of the research showed that the issuer of the government had the least risk and private companies had the highest risk. In the second stage, for ranking financial instruments, the results showed that for issuer of government, treasury bonds had the lowest risk and forward bonds had the highest risk. For the issuer of state-owned companies, the forward bonds had the highest risk and lease bonds had the lowest risk. Manuscript profile -
Open Access Article
190 - Evaluating corporate Risk Management using entropy weight and grey relation analysis
Frydoon Rahnamay Roodposhti mohammad norouzi hady aminy Farhad AziziMajor developments in the business environment, such as globalization and the rapid pace of change in technology, have increased competition and management difficulty in organizations. In complex environments, organizations need managers to consider these inherent compl MoreMajor developments in the business environment, such as globalization and the rapid pace of change in technology, have increased competition and management difficulty in organizations. In complex environments, organizations need managers to consider these inherent complexities when making important decisions. Effective risk management is an important part of this decision-making process. The purpose of the present study is to evaluate corporate risk management by analyzing the relationship between gray matter and entropy weight in listed companies of Tehran Stock Exchange. The sample included 20 companies during the years 2013 to 2018. In this study, we first sought to find relative weight for measuring corporate risk management by using variables (strategic risk management, operational risk management, risk management reporting and risk management non-compliance). Then, based on the results of the entropy analysis, we will try to determine the rankings of the companies in terms of risk management performance using the gray relationship analysis in the companies. The results of this study indicate that many companies have high performance in risk management. Manuscript profile -
Open Access Article
191 - Evaluating the effectiveness of financial therapy on financial literacy, personal financial management and money management, to fuzzy logic
najmeh tavakoli Zaniyani Masoud taherinia Daruosh Jalali Ebrahim GivakiThe commitment and acceptance financial therapy helps individual to by teaching them financial skills along with changes in monetary beliefs and financial behaviors. to have an overview of his/her own set of decisions and reduce the effect of mental errors on financial MoreThe commitment and acceptance financial therapy helps individual to by teaching them financial skills along with changes in monetary beliefs and financial behaviors. to have an overview of his/her own set of decisions and reduce the effect of mental errors on financial decisions.This is a practical and quasi-experimental study. The statistical population of the study was 20 bazaars in Shahrekord in 2020 who underwent training and interventions related to financial therapy based on acceptance and commitment in 10 sessions of 120minutes and completed the research questionnaires before and after training. In order to analyze the data in the traditional way, SPSS25 statistical software and Matlab software were used for fuzzy data analysis. The results show that financial therapy based on the approach of acceptance and commitment to increase financial literacy, improve money management And personal financial management are effective in both quantitatively and qualitatively.Another result of this study is more accurate measurement of fuzzy model for evaluating the effectiveness of financial therapy based on acceptance and commitment than the traditional evaluation method. Manuscript profile -
Open Access Article
192 - Evolutionary 4-Objective Optimization Portfolio Algorithms for fuzzy and non-fuzzy selection
Mohammad javad Salimi Mohammad Taghi Taqhavi Fard Mirfeiz Fallahshams Hadi Khajezadeh DezfuliIn choosing the optimal portfolio, we must consider various criteria, some of which are determined by the nature of the optimization and some are determined by the investor's desire. Therefore, in this paper, multi-objective optimization models are designed and solved i MoreIn choosing the optimal portfolio, we must consider various criteria, some of which are determined by the nature of the optimization and some are determined by the investor's desire. Therefore, in this paper, multi-objective optimization models are designed and solved in MATLAB software environment. These models are designed in such a way that both the nature of the portfolio optimization, the considerations of the investor and the uncertain nature of the future return on assets, are taken into account. After designing the models in fuzzy and non-fuzzy (simple) conditions, due to their NP-HARD nature, a dedicated NSGA-II algorithm was used to solve it. After solving the models, the best portfolio from attained Pareto frontier, based on the Sortino ratio, be chosen. After that all of the obtained portfolios are compared according to the Treyner ratio. The results of statistical tests clearly show that the proposed models have a high power in choosing portfolios with maximum returns and a minimum risk. The results also indicate that that the designed models, with use of fuzzy logic in quadratic models creates more favorable results than simple models without using possibility theory and fuzzy logic. Manuscript profile -
Open Access Article
193 - Fuzzy – neural model with hybrid genetic algorithms for stock price forecasting in auto industry in Tehran security exchange
ehsan Sadeh reza Ehtesham Rasi ali Sheidaei NarmigiSelection of appropriate time and price in trading stocks has an important role in investment decisions on profit and loss of investors in capital markets. Nonlinear intelligent systems, such as artificial neural networks, fuzzy- neural networks and genetic algorithms, MoreSelection of appropriate time and price in trading stocks has an important role in investment decisions on profit and loss of investors in capital markets. Nonlinear intelligent systems, such as artificial neural networks, fuzzy- neural networks and genetic algorithms, would be used to forecast stock prices motions. In this article,a model of stock prices motions has been designed using Adaptive Neuro- Fuzzy Inference System (ANFIS)integrated with genetic algorithm, in which two different groups of fundamental and technical variables have been employed as model inputs. According to Model outputs,the rate of forecasting errors in both groups of inputs is not significant and these systems are able to forecast daily stock prices. The Mann-Whitney test has been used to measure the accuracy of models and it was found that there is no significant difference between results of prices forecasted in both methods. Both methods are able to forecast next day price with an insignificant error provided that at least one of the inputs in both methods has a linear dependence with price, . Also, results show that these systems do not work properly to forecast prices of high volatility stocks Manuscript profile -
Open Access Article
194 - Sturm-Liouville Fuzzy Problem with Fuzzy Eigenvalue Parameter
Hülya Gültekin Çitil -
Open Access Article
195 - A Mathematical Review on Machine Intelligence Quotient (MIQ) Theory in Real-World Applications
Aref Safari -
Open Access Article
196 - Recognition of Fill and Empty Walnuts Using Acoustic Analysis and Fuzzy Logic
Reza Khakrangin Davood MohamadZamani Seyed Mohamad Javidan -
Open Access Article
197 - Sensory Acceptability Modeling of Pistachio Green Hull’s Marmalade using Fuzzy Approach
Toktam Mohammadi Moghaddam Fakhreddin Salehi Seyed M.A. Razavi -
Open Access Article
198 - Optimizing the Torque of Knee Movements of a Rehabilitation Robot
محمدحسین زین الدینی مصطفی پیرمرادیان Farhad Azimifar -
Open Access Article
199 - Optimal Strategy Selection by Using a Combination of SWOT and Fuzzy ANP Techniques
morad kordi ziynab ghasabzadeh langariSurvival and life of an organization depend on correct decisions when facing opportunities and threats in the external environment of the organization. Since no organization can have infinite resources, strategists must decide on which strategy among various ones can le MoreSurvival and life of an organization depend on correct decisions when facing opportunities and threats in the external environment of the organization. Since no organization can have infinite resources, strategists must decide on which strategy among various ones can lead to maximum profit. SWOT analysis enables managers to discover and identify internal and external factors affecting strategies of the organization. Therefore, the above-mentioned analysis is an appropriate tool to formulate strategies; however, it does not have the capability to evaluate the dependency of identified factors. In this study, a Fuzzy-ANP model is used to support SWOT process. This model considers not only the internal dependency of factors but also the ambiguity that appears in the opinions of decision makers by the application of the model in the fuzzy environment; although that the current techniques such as AHP consider factors independently. The network model presented here to analyze SWOT consists of four levels: the goal (best strategy) is in the first level; SWOT criteria, 4 main criteria and 24 sub-criteria are in the second and third level respectively; and finally alternatives (4 strategy). To calculate weights of SWOT factors, based on ANP method, a questionnaire in the form of paired comparison is designed and then given to the experts of the company studied. Afterwards, the geometric mean is applied, and finally based on ANP model, SO strategy with maximum weight is selected for the company. Manuscript profile -
Open Access Article
200 - Modelling fuzzy multi-criteria decision-making method to locate industrial estates based on geographic information system
Mohammad Reza Jangjoo -
Open Access Article
201 - An Interval Type-2 Fuzzy LSTM Algorithm for Modeling Environmental Time-Series Prediction
Aref Safari Rahil Hosseini -
Open Access Article
202 - The assessment of efficiency of saponin as bio-surfactant in removal of nickel and vanadium from soil contaminated by petroleum, Case study: Ahwaz oil pumping unit
Behnoush Khoshmanesh Rasoul Ghadami Ali Akbar Ghafourinejad -
Open Access Article
203 - Optimization of e-Learning Model Using Fuzzy Genetic Algorithm
Mohammad Ali Afshar Abbas Toloie Fateme Nazeri -
Open Access Article
204 - PROVIDE A MODEL FOR IDENTIFYING AND RANKING THE MANAGERIAL FACTORS AFFECTING INFORMATION SECURITY IN ORGANIZATION BY USING VIKOR METHOD; CASE STUDY: TEHRAN UNIVERSITY OF MEDICAL SCIENCES
SOMAYYEH SHAFEGHATI NAZANIN PILEVERI
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