List of Articles روش تاپسیس فازی

• Open Access Article
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  1 - Assessment and Environmental Impact Analysis of the Urban Streets using Multi-Criteria Decision Making Model (Case Study: 58-meter street of Arak)
  maryam hosseinkhani amir ansari amir Hedayati Agmashhadi
  10.29252/.4.6.61
  The purpose of this research is assessing and planning the urban streets of Arak city. In this research, environmental impacts were assessed by using these three methods: Multi-criteria like rapid matrix, ANP and fuzzy TOPSIS that both of them are decision-making method More

  The purpose of this research is assessing and planning the urban streets of Arak city. In this research, environmental impacts were assessed by using these three methods: Multi-criteria like rapid matrix, ANP and fuzzy TOPSIS that both of them are decision-making methods. The process that has been followed in this study includes, determining the indicators, (using library studies), specifying geographic area, introducing the options, studying the environmental basic conditions, indicating and predicting and impacts, assessing the impacts using the three mentioned methods and providing the report. In the following, the status of the environmental factors was investigated. Then, the most important factors that might be affected by 58-meter street construction were identified using checklist, and were selected as the criteria for impact assessment. Then environmental impact assessment was separately fulfilled by using three methods like rapid assessment (matrix), fuzzy TOPSIS and ANP. Due to the the more negative impacts relatively to the positive impacts in the rapid matrix method, the project was rejected. In both fuzzy TOPSIS and ANP methods the non-execution option has the most weight and preference. But among these methods, the ANP method is introduced as a suitable method for environment impacts assessment in different projects because of its ability to create a network with interaction between criteria and options at different levels and directions. Manuscript profile
• Open Access Article
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  2 - Designing the Model to Identify and Prioritize the Satisfaction Indicators of e-business Customers in Fuzzy Environment Using BWM and TOPSIS
  Hamed Mohamadalizadeh Mohammad Javad  Ershadi Arman Sajedinejad
  Failure to properly manage limited resources can ultimately lead to failure for these businesses. These businesses play an important role in inventing new methods that lead to technological changes and increased production capacity. It can be said that such units are dr More

  Failure to properly manage limited resources can ultimately lead to failure for these businesses. These businesses play an important role in inventing new methods that lead to technological changes and increased production capacity. It can be said that such units are driven by change and competition, as they alter the overall structure of the market. The creation and development of these businesses is an important policy for creating new jobs, accelerating economic improvement, and fostering the growth of countries. Therefore, special attention should be paid to new businesses. This research aims to identify important factors by examining different models of customer satisfaction as well as theses and papers in this field. By presenting an indigenous model, the research first uses the best-worst fuzzy method to weight the e-business customer satisfaction factors. Then, using a fuzzy TOPSIS technique, it examines one category of e-business, namely online stores, and ranks them in terms of customer satisfaction criteria. The results show that this model, with high computational efficiency and compatibility, highlights the priority of customer satisfaction factors. Additionally, communication and interaction criteria were ranked as the most important, followed by product and service quality, price/time, and sales and after-sales service. Interactions, value/time benchmarking, quality benchmarking, and ultimately sales and after-sales service warranty were identified as the best sub-criteria. Manuscript profile