Extended EDAS Method for Fuzzy Multi-criteria Decision-making: An Application to Supplier Selection

Mehdi Keshavarz Ghorabaee, Edmundas Kazimieras Zavadskas, Maghsoud Amiri, Zenonas Turskis

Abstract


In the real-world problems, we are likely confronted with some alternatives that eed to be evaluated with respect to multiple conflicting criteria. Multi-criteria ecision-making (MCDM) refers to making decisions in such a situation. There are any methods and techniques available for solving MCDM problems. The evaluation ased on distance from average solution (EDAS) method is an efficient multi-criteria ecision-making method. Because the uncertainty is usually an inevitable part of he MCDM problems, fuzzy MCDM methods can be very useful for dealing with the eal-world decision-making problems. In this study, we extend the EDAS method o handle the MCDM problems in the fuzzy environment. A case study of supplier election is used to show the procedure of the proposed method and applicability of t. Also, we perform a sensitivity analysis by using simulated weights for criteria to xamine the stability and validity of the results of the proposed method. The results f this study show that the extended fuzzy EDAS method is efficient and has good tability for solving MCDM problems.

Keywords


Multi-criteria decision-making, Fuzzy sets, Fuzzy MCDM, EDAS method, Fuzzy EDAS, Supplier selection

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References


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DOI: https://doi.org/10.15837/ijccc.2016.3.2557



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