An intuitionistic fuzzy extension of the codas-sort method

• Authors: Ouhibi Abir , Moalla Frikha Hela
• Languages of publication: EN

Abstracts

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.

Keywords

EN

CODAS-SORT; Intuitionistic fuzzy set; Multicriteria decision aid; Sorting methods

• Publisher: Uniwersytet Ekonomiczny w Katowicach
• Journal: Multiple Criteria Decision Making
• Year: 2021
• Volume: 16
• Pages: 110-121

Contributors

author

Ouhibi Abir

• Laboratory “Optimisation, Logistique et Informatique Décisionnelle” (OLID), University of Sfax, High Institute of Industrial Management of Sfax, Tunisia

author

Moalla Frikha Hela

• Laboratory “Optimisation, Logistique et Informatique Décisionnelle” (OLID), University of Sfax, High Institute of Industrial Management of Sfax, Tunisia

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Identifiers

ISSN

2084-1531