An innovative TOPSIS approach based on hesitant fuzzy correlation coefficient and its applications
Abstract
The technique for order preference by similarity to ideal solution (TOPSIS) is one of the most popular and efficient methods in solving the multiple criteria/attribute decision making (MCDM/MADM) problems. However, the traditional TOPSIS can not deal with the information measures with negative value. Therefore, we develop an innovative TOPSIS in this paper based on a novel synthetic correlation coefficient between HFSs which lies in [−1,1] in...
Paper Details
Title
An innovative TOPSIS approach based on hesitant fuzzy correlation coefficient and its applications
Published Date
Jul 1, 2018
Journal
Volume
68
Pages
249 - 267
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