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A Hybrid Fuzzy MCDM Approach for Sustainable Health Tourism Sites Evaluation
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Author(s): Mehmet Ali Taş (Department of Industrial Engineering,Turkish-German University, Turkey)and Esra Çakir (Department of Industrial Engineering, Galatasaray University, Turkey)
Copyright: 2022
Pages: 28
Source title:
Handbook of Research on Advances and Applications of Fuzzy Sets and Logic
Source Author(s)/Editor(s): Said Broumi (Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, Casablanca, Morocco & Regional Center for the Professions of Education and Training (CRMEF), Casablanca-Settat, Morocco)
DOI: 10.4018/978-1-7998-7979-4.ch004
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Abstract
Health tourism is the set of activities that patients perform to be treated and to feel good. Each health activity should have its own conditions, and gathering these activities under one building requires expert views. Therefore, choosing the site for health tourism in a sustainable environment is a complex problem. It is also becoming more difficult in terms of developing sustainable health tourism as it involves environmental conditions. This study proposes a strategy that helps to appraise sustainable health tourism areas by combining fuzzy SWARA and fuzzy MARCOS methods. This approach weighs specified criteria via fuzzy SWARA according to the expert evaluations and ranks the alternatives via fuzzy MARCOS. This study aims to select sustainable health tourism site according to the criteria by decision makers. Sensitivity analysis is performed by creating different scenarios, and the results are discussed. According to the results of the proposed approach, it is thought that it can be used in the solution of the problem of sustainable health tourism site selection.
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