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

Authors

  • Mehdi Keshavarz Ghorabaee Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran
  • Edmundas Kazimieras Zavadskas Research Institute of Smart Building Technologies, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania
  • Maghsoud Amiri Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran
  • Zenonas Turskis Research Institute of Smart Building Technologies, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania

Keywords:

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

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.

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Published

2016-03-24

Issue

Vol. 11 No. 3 (2016): International Journal of Computers Communications & Control (June)

Section

Articles

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