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Open Access Article
1 - Investigation of Optimum Cropping Pattern Proportional to Allocable Water and Balancing Aquifer (Case Study of Qom-Kahak Study Area)
Saeed Emamifar Farshad Mohammadian Reza Mohammadi Ahmad Abadi Mojtaba Ali-MadadiThe high share of agricultural water consumption compared to other sectors and the serious crisis of dehydration in recent years reform and offer optimal crop pattern that reduces water consumption and increases the efficiency of its use, the requirements of most forbid MoreThe high share of agricultural water consumption compared to other sectors and the serious crisis of dehydration in recent years reform and offer optimal crop pattern that reduces water consumption and increases the efficiency of its use, the requirements of most forbiddens and critical plains of the country. The purpose of this study was to provide optimal cropping pattern in relation to Allocable Water agriculture communicated by the Ministry of Energy and the long-term cumulative accumulation deficit of aquifers and the emphasis on agricultural sustainability indicators in the twenty-year planning horizon, Qom-Kahak study area. To simulate rainfall component behavior, outcomes of A2 scenario for the HADCM3 climatic model were used and using the continuity equation balance,the volume of water allocated to the crop sector was estimated each year. Then, using fuzzy utopian planning models, sustainable agriculture patterns were presented within the framework of technical constraints. The results showed that the implementation of the proposed agronomic models will in addition to offset the deficit of 536 million cubic meters and aquifer balance in the study area over the planning horizon, It will increase labor force and physical productivity of water, fertilizers and pesticides consumption will increase by 10.7%, 106%, 4.1% and 8.8% respectively, and water resources, fertilizers and chemicals consumption will reduce by 48.2%, 3.9%, 8 respectively.. Therefore, it is suggested to regional authorities to prioritize the implementation of proposed agro-projects, which requires the development of legal requirements, incentive and punitive policies, and conducting training and extension courses. Manuscript profile -
Open Access Article
2 - FGP approach to multi objective quadratic fractional programming problem
K. Lachhwani -
Open Access Article
3 - A Fuzzy Goal-Programming Model for Optimization of Sustainable Supply Chain by Focusing on the Environmental and Economic Costs and Revenue: A Case Study
Mohammad Reza Zamanian Ehsan Sadeh Zeinolabedin Amini Sabegh Reza Ehtesham Rasi -
Open Access Article
4 - Fuzzy Goal Programming Model to Rolling Performance Based Budgeting by Productivity Approach (Case Study: Gas Refiner-ies in Iran)
Nouraldin Kalantari Rahmatollah Mohammadi Pour Masoud Seidi Ardashir Shiri Masoud Azizkhani -
Open Access Article
5 - A Fuzzy Goal Programming Model for Efficient Portfolio Selection.
Abolfazl Kazemi Ali Shakourloo Alireza Alinezhad -
Open Access Article
6 - Influence of fuzzy Goal Programming in Production Optimization Case study: Cement Industry
Mahmoud Modiri Saeid Moheb Rabbani Hadi Heidari Gharebolagh -
Open Access Article
7 - Extension of Portfolio Selection Problem with Fuzzy Goal Programming: A Fuzzy Allocated Portfolio Approach
Alireza Alinezhad Majid Zohrehbandian Meghdad Kian Mostafa Ekhtiari Nima Esfandiari -
Open Access Article
8 - Application on concurrent product design and process planning for a Bicycle design
Abbas Al-Refaie -
Open Access Article
9 - Design of supply chain in fuzzy environment
Kandukuri Narayana Rao Kambagowni Venkata Subbaiah Ganja Veera Pratap Singh -
Open Access Article
10 - A hybrid solution approach for a multi-objective closed-loop logistics network under uncertainty
Mehrdad Mehrbod Nan Tu Lixin Miao -
Open Access Article
11 - Mathematical solution of multilevel fractional programming problem with fuzzy goal programming approach
Kailash Lachhwani Mahaveer Prasad Poonia -
Open Access Article
12 - An iterative method for tri-level quadratic fractional programming problems using fuzzy goal programming approach
Semu Mitiku Kassa Teklay Hailay Tsegay -
Open Access Article
13 - A genetic algorithm for a bi-objective mathematical model for dynamic virtual cell formation problem
Mostafa Moradgholi Mohammad Mahdi Paydar Iraj Mahdavi Javid Jouzdani -
Open Access Article
14 - Modified FGP approach and MATLAB program for solving multi-level linear fractional programming problems
Kailash Lachhwani Suresh Nehra -
Open Access Article
15 - TOPSIS approach to linear fractional bi-level MODM problem based on fuzzy goal programming
Partha Pratim Dey Surapati Pramanik Bibhas C. Giri -
Open Access Article
16 - Designing a Fuzzy Goal Programming (FGP) model of Green Closed Loop Supply Network (GCLSN) direction integrating financial and operational flow
shahram mokhlesabadi Mohammadreza Kabaranzadeh Khadim Hasanali Aghajanikasehgar Mohammad Mehdi MovahediToday's the world is more competitive than ever therefore in order to survive in such an environment for organizations having with a supply management network has become an essential issue a recyclable and environmentally friendly product. The purpose of this article is MoreToday's the world is more competitive than ever therefore in order to survive in such an environment for organizations having with a supply management network has become an essential issue a recyclable and environmentally friendly product. The purpose of this article is to design Green Closed Loop Network (GCLN) to integrate financial- physical flows. The innovation of this article designing a four objective model to minimize deviations in financial indicators from desired limits; Costs; The rate of emission of pollutant gases throughout the environmental network and maximizing profits of shareholders using mathematical modeling of Fuzzy Goal Programming (FGP) with considering financial flows and its integration with physical flow. Modeling problem of FGP in a multi level multi period and multi product supply network with aim of maximizing shareholder wealth. To deal with multi-objective nature of FGP has been used. The model is designed and implemented in the dairy industry. The proposed model has been designed with GAMS24 software CPLEX solver tested using epsilon method of constraint. The results of modeling and solving numerical model show importance of the role of financial ratios and at the same time consider operational financial dimensions in mathematical model to gain a stable competitive advantage. Manuscript profile -
Open Access Article
17 - Solving the multiobjective portfolio rebalancing model with fuzzy parameters to develop the expected value by genetic algorithm
Hosein Didehkhani zeynab Fereidooni koochaksaraeiThe ability to choose the most optimal change in the composition of the portfolio of assets, brings the investor to the highest level of investment in terms of efficiency and effectiveness in the dynamic and changing market. Rebalancing the portfolio occur through a cha MoreThe ability to choose the most optimal change in the composition of the portfolio of assets, brings the investor to the highest level of investment in terms of efficiency and effectiveness in the dynamic and changing market. Rebalancing the portfolio occur through a change in the composition of assets weights, remove the assets, bought and sold assets and etc. Therefore, in this study solving the multiobjective portfolio rebalancing model with fuzzy parameters. The return, risk, liquidity and uncertainty as a key financial criteria are considered. Due to its importance as well as transaction costs, the net return of the portfolio are adjusted. the multiobjective portfolio rebalancing model with fuzzy parameters is solved by fuzzy goal programming and a hybrid intelligent algorithm that combines fuzzy simulation with a genetic algorithm. The results demonstrated the effectiveness of the solution approach and effciency of the model in practical applications of rebalancing an existing portfolio. Manuscript profile