Multiple Attribute Group Decision-Making Model Based on Single-Valued Neutrosophic Fuzzy Sets and VIKOR

Author:

Wu Meiqin1,Zhao Tingting1,Fan Jianping1

Affiliation:

1. Shanxi University

Abstract

Abstract As an extension of single-valued neutrosophic sets, Single-valued neutrosophic fuzzy sets can deal with uncertain and inconsistent information at the same time. Considering this advantage, this paper proposes some aggregation operators based on single-valued neutrosophic fuzzy environment and combines VIKOR method to study the multi-attribute group decision making problem. Firstly, we define the generalized distance measure for single-valued neutrosophic fuzzy sets, and propose the weighted arithmetic averaging operator, weighted geometric averaging operator, generalized weighted averaging operator, and generalized weighted geometric operator of single-valued neutrosophic fuzzy sets. Secondly, the proposed operators are combined with the VIKOR method to construct a multi-attribute group decision making model. Finally, the model is applied to the green supplier selection problem, and the feasibility of the model is demonstrated by comparative analysis.

Publisher

Research Square Platform LLC

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