An Intuitionistic Fuzzy Extension of the CODAS-SORT Method

• Autorzy: Abir Ouhibi , Hela Moalla Frikha
• Języki publikacji: EN

Abstrakty

EN

Currently, an important issue in multi-criteria decision-making (MCDM) problems are vagueness and lack of precision of decision- -making information because of insufficient data and incapability of the decision maker to process the information. Intuitionistic fuzzy sets (IFS) are a solution to eliminate the vagueness and the uncertainty. While fuzzy sets (FS) deal with ambiguity and vagueness problem, IFSs have more advantages. Moreover, the CODAS-SORT method cannot handle the uncertainty and ambiguity of information provided by human judgments. The aim of this study is to develop an IF extension of CODAS-SORT combining this method with the IFS theory. To achieve this, we use the fuzzy weighted Euclidean distance and fuzzy weighted Hamming distance instead of the crisp distances. A case study of a supplier selection assessment is used to clarify the details of our proposed method. (original abstract)

Słowa kluczowe

EN

Multiple-criteria decision making; Fuzzy sets; Choice of supplier

PL

Wielokryterialne podejmowanie decyzji; Zbiory rozmyte; Wybór dostawcy

• Czasopismo: Multiple Criteria Decision Making / University of Economics in Katowice
• Rocznik: 2021
• Tom: 16
• Strony: 110--121

Twórcy

autor

Abir Ouhibi

• University of Sfax, Tunisia

autor

Hela Moalla Frikha

• University of Sfax, Tunisia

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Identyfikatory

DOI

10.22367/mcdm.2021.16.06