MCDM'21 - paper no. 6
AN INTUITIONISTIC FUZZY EXTENSION OF THE CODAS-SORT METHOD
Abir Ouhibi, Hela Moalla Frikha
Abstract:
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:
multicriteria decision aid, sorting methods, CODAS SORT, intuitionistic fuzzy set
Reference index:
Abir Ouhibi, Hela Moalla Frikha, (2021), AN INTUITIONISTIC FUZZY EXTENSION OF THE CODAS-SORT METHOD, Multiple Criteria Decision Making (16), pp. 110-121
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