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The tourism industry has become a major economic activity in the early years of the 21st Century and is considered one of the most productive and most employment-oriented global industries. Tourism is one of the most important factors generating wealth and employment in the world. It is necessary to plan for the proper exploitation of this industry, The most important steps to plan are to locate sites for providing tourists with the services they need in the form of tourist villages, This research is for the city of Shush which is one of the most important tourist areas of Khuzestan province And since it has many ancient monuments, it has attracted many tourists, , But the city has been at a very low level in terms of having a space worthy of tourists. Therefore, the conditions reinforced the idea of creating a tourism village. In this research, location-based discussion was conducted through a fuzzy inference system, Finally, the Fuzzy Topsis method has been used to protect the environment and to some extent extend sustainable tourism development. The ranking of these sites is based on environmental criteria. In the fuzzy inference system by applying the layers required in this method, four sites are considered to be very suitable.Then, using Fuzzy Topsis, which includes 10 criteria and 4 options, identified the best site on site 4. This site will bring the least damage to the environment, Located on the banks of the Dez River, most of the area has been covered by ground. In terms of maintaining environmental criteria, the site has a completely organic environment than other sites.

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Evaluation is one of the most important necessities in the process of urban regeneration, which leads to the optimal decision to solve the problem of urban inefficiency. Evaluating decisions in the urban regeneration process, given its complexity, ambiguity and uncertainty, is a critical issue that requires identifying the criteria that affect its realization and using fuzzy decision-making methods. The purpose of this study is to introduce a fuzzy Delphi method based on qualitative reasoning to identify and localize the criteria affecting urban regeneration. The research method is a combination of quantitative and qualitative methods. The present study is applied in terms of developmental goal and descriptive-analytical in terms of researcher action. The content analysis method was used to develop the conceptual model of the research and the fuzzy inference system (FIS) and Matlab and SPSS software were used to analyze the components and criteria of urban regeneration. To obtain the required data for the research, open and closed questionnaires were distributed among experts and the expert group. Then, the obtained data were entered into the fuzzy inference system and their output was considered as research findings. According to the results of the study, 18 criteria were identified to evaluate the regeneration policy. These criteria were reduced to 12 criteria in the final selection stage, which was done by Delphi interview method. The results show that the most important and insignificant components of urban regeneration in Qom are economic, functional, physical, managerial, social and environmental components, respectively. General Transportation and Access to Urban Management Safety and Health, Housing and Infrastructure.