List of Articles Fuzzy method

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  1 - Management and disposal of surface runoff using geographic information system and fuzzy method (Case study: Bandar Imam Khomeini)
  Shahab  Mosavi رامین ارفع نیا Ghasem Khosravi
  The purpose of building surface water collection networks is to enhance the resilience of cities against unexpected events such as floods and to improve overall urban health. Recent rainfalls in Bandar Imam Khomeini have exposed vulnerabilities, leading to severe floodi More

  The purpose of building surface water collection networks is to enhance the resilience of cities against unexpected events such as floods and to improve overall urban health. Recent rainfalls in Bandar Imam Khomeini have exposed vulnerabilities, leading to severe flooding in roads and streets due to the absence of canals and surface drainage systems. The problem has caused significant damage to the infrastructure of the region. The research aims to implement a runoff management system using the Geographic Information System in Bandar Imam Khomeini. For this purpose, digital layers of the area, including elevation, slope, direction of slope, and drainage network of the city were prepared using the Geographic Information System. The fuzzy logic method was then employed to identify areas with the potential for runoff accumulation in the region. The research findings indicate that these areas are concentrated in the east, center, northeast, and southeast of the region. Then, using the RiverTools technique and according to the map of the city's drainage network, the best routes for constructing proposed canals were determined. These canals include sub-canals, second-order main canals, and third-order main canals. The first-order canal is the main conduit that collects the water of the second and third order canals. Manuscript profile
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  2 - Identifying And Prioritizing Supply Chain Sustainability Indicators And Presenting A Comprehensive Sustainability Model Related To Yazd Ceramic Tile Industry With The Grounded Theory And The Best-Worst Fuzzy Method
  mohsen mirjalili Hasan Dehghan Dehnavi shahnaz nayebzadeh
  10.30495/imj.2022.1926584.1577
  The need to observe the factors of sustainable development (especially environmental issues) in the ceramic-tile industry due to the high share of factories in this industry, has always been emphasized. In this article, we have tried to study the effective factors in th More

  The need to observe the factors of sustainable development (especially environmental issues) in the ceramic-tile industry due to the high share of factories in this industry, has always been emphasized. In this article, we have tried to study the effective factors in the sustainable development of the supply chain of the ceramic-tile industry in Yazd province. The purpose of this study is to identify the indicators and provide a comprehensive model of supply chain sustainability in the ceramic-tile industry of Yazd province and to prioritize the indicators. Initially, while studying the research literature, 11 university administrators and experts were selected. Samples were selected by non-probabilistic snowball sampling method. The components were identified through semi-structured interviews and sampling was continued until theoretical saturation was obtained. In the qualitative part, the grounded theory approach was used. The obtained sub-indices were classified into 91 codes, 19 concepts and 6 categories based on the analysis of the grounded theory approach. Also, the findings of the quality sector led to the presentation of a comprehensive model of supply chain stability in the ceramic-tile industry of Yazd province. Quantitative data analysis was performed using the best-worst fuzzy method through Lingo17 software. And the results of the quantitative section led to the calculation of weight as well as the prioritization of dimensions and indicators. The concept of equipment with a final weight of 0.2777 was prioritized as the most important indicator and the concept of globalization with a final weight of 0.0027 as the least important. Manuscript profile
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  3 - Cutting waste landfill zoning using AHP Fuzzy (Case study: Khorram Bid Township)
  hamidreza amiri Tahereh Erfanmannesh Sanaz Falah
  Current industrial cities in terms of mining, ore crushing and production units located in that area could be contaminated with particulate matter, especially heavy metals such as lead, nickel -Zinc, copper, cadmium, etc. are various forms. On the other hand disrupt the More

  Current industrial cities in terms of mining, ore crushing and production units located in that area could be contaminated with particulate matter, especially heavy metals such as lead, nickel -Zinc, copper, cadmium, etc. are various forms. On the other hand disrupt the daily lives of those residents near waste disposal sites are essential to prevent the need for waste disposal location. The researcher sought the appropriate location for solid waste landfill Khorram Bid Township in the province is using GIS. To achieve this objective, criteria such as slope, aspect, elevation, geology, land use, lines of communication, distance from the settlement, distance from the wells and aqueducts, distance from surface water is used. Then, for each of the factors at zoning cutting waste landfill was prepared in GIS data layers and each layer was weighted. Then, to modeling, to each of the data layers based on their importance in landfill zoning stonework using AHP model is assigned an appropriate weight. The following layers were normalized using fuzzy functions. The results of layers lands on the information to select suitable sites for landfill classified into five classesThus, according to research that the final map, the north and northeast of the city for which it is intended. Manuscript profile
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  4 - Determining Range Suitability Using Fuzzy and Hierarchical Method (Case Study: Bagheran Birjand Watershed, South Khorasan Province, Iran)
  Einollah Rouhi Moghaddam Halimeh Joloro Hadi Memarian
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  5 - Using the fuzzy methods to examine changes in brain lesions and atrophy from MRI images for rapid diagnosis of MS
  Alireza Banitalebidehkordi
  Multiple sclerosis(MS) is a disease that affects the central nervous system, during which the myelin present on the nerve fibers that have a protective role is destroyed, and therefore the conduction of electric current is disturbed and the symptoms of MS disease appear More

  Multiple sclerosis(MS) is a disease that affects the central nervous system, during which the myelin present on the nerve fibers that have a protective role is destroyed, and therefore the conduction of electric current is disturbed and the symptoms of MS disease appear. TIn this disease, the white blood cells that play a defensive role in the body attack the myelin, which is a protection for nerve fibers, as a foreign agent, and each time these blood cells attack the nerve fibers of one of the organs of the patient's body. which is unclear, that organ will have problems. The best way to diagnose MS is to examine brain MRI images. Therefore, the existence of a fast and accurate method to evaluate changes in brain atrophy or the creation and increase of lesions (plaques) caused by this disease is a key component in diagnosing and evaluating the progress of the disease and the effectiveness of its treatment courses. Manual detection of changes in lesions (plaques) and brain atrophy caused by this disease usually requires a trained specialist and is very slow and difficult, and the results are somewhat subjective. Therefore, the existence of an automatic system for extracting and checking these changes is essential. Although many automatic methods have been proposed, the segmentation results are not accurate enough. As a result, there is a great need to develop a strong, fast and accurate method to diagnose MS and brain lesions caused by it. In this article, by combining two fuzzy methods and the controlled watershed algorithm, we propose a fast method with high accuracy to diagnose MS from brain MR images. Manuscript profile