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Article type: Research Article
Authors: Kalawi, Danaa | Cakar, Tarıkb | Gurul, Binnurb; *
Affiliations: [a] International Student Office, Istanbul Gelisim University, Avcilar Istanbul, Turkey | [b] Department of Industrial Engineering, Faculty of Engineering and Architecture, Istanbul Gelisim University, Avcilar Istanbul, Turkey
Correspondence: [*] Corresponding author. Binnur Gurul, Department of Industrial Engineering, Faculty of Engineering and Architecture, Istanbul Gelisim University, Avcilar Istanbul, Turkey. E-mail: bgurul@gelisim.edu.tr.
Note: [1] Article derived from a master thesis in Engineering Management, Istanbul Gelisim University, Istanbul, Turkey.
Abstract: This study aims to investigate the sustainable campus criteria, the variations made or require to be done to become an ecologically sustainable campus. In this context, the major goal of the research is assessing the sustainable campus design principles and indicators, setting the targets and deciding the precedencies with the Fuzzy Multi-Criteria Decision-Making methods (MCDM) for the sustainable campus design at Istanbul Gelisim University. In this study, model-based methods have been used to evaluate the sustainable campus performance of universities. In this respect, the study differs from other studies in the literature. Another difference of this study is that three different Fuzzy Multi-Criteria Decision-Making methods has been used, these methods are Fuzzy-AHP, Fuzzy-TOPSIS and Fuzzy-ELECTRE. All three have different inference mechanisms. A common solution has been obtained by using the results of these three different Fuzzy-MCDM methods as hybrid dominance and superiority criteria. Here, the Copeland method, which takes the superiority criterion as a reference, has been used in the options where we could not provide the dominance criterion. At the end of this study, a recommendation report has been prepared according to these results.
Keywords: Sustainable campus, fuzzy multicriteria decision making, fuzzy AHP, fuzzy TOPSIS, fuzzy ELECTRE
DOI: 10.3233/JIFS-223778
Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3393-3415, 2023
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