Study on Chaotic Multi-Attribute Group Decision Making Based on Weighted Neutrosophic Fuzzy Soft Rough Sets

Fu Zhang and Weimin Ma ()
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Fu Zhang: School of Economics and Management, Tongji University, Shanghai 200092, China
Weimin Ma: School of Economics and Management, Tongji University, Shanghai 200092, China

Mathematics, 2023, vol. 11, issue 4, 1-19

Abstract: In this article, we have proposed a multi-attribute group decision making (MAGDM) with a new scenario or new condition named Chaotic MAGDM, in which not only the weights of the decision makers (DMs) and the weights of the decision attributes are considered, but also the familiarity of the DMs with the attributes are considered. Then we applied the weighted neutrosophic fuzzy soft rough set theory to Chaotic MAGDM and proposed a new algorithm for MAGDM. Moreover, we provide a case study to demonstrate the application of the algorithm. Our contributions to the literature are as follows: (1) familiarity is rubbed into MAGDM for the first time in the context of neutrosophic fuzzy soft rough sets; (2) a new MAGDM model based on neutrosophic fuzzy soft rough sets has been designed; (3) a sorting/ranking algorithm based on a neutrosophic fuzzy soft rough set is constructed.

Keywords: multi-attribute group decision making; fuzzy soft rough sets; neutrosophic fuzzy soft rough sets (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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