HIGHLIGHTS
SUMMARY
After the introduction of fuzzy set theory, fuzzy versions of classical multi criteria decision making (MCDM) methods have emerged to capture the DMs` uncertain expressions (Chatterjee et_al, 2018a). In this study, EDAS method is extended to Z-fuzzy EDAS method using ordinary Z-fuzzy numbers to strengthen the reliability degree of the given decisions. The second aim of this study is to integrate Z-fuzzy AHP method with Z-fuzzy EDAS method to use the criteria weights obtained from AHP in the Z-fuzzy EDAS method for ranking the alternatives. iii. Third, all steps . . .
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