4.7 Article

Comprehensive fuzzy concept-oriented three-way decision and its application

期刊

INFORMATION SCIENCES
卷 593, 期 -, 页码 233-270

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2022.02.001

关键词

Three-way decision; Fuzzy neighborhood operator; Multi-criteria decision-making; Comprehensive fuzzy concepts

资金

  1. National Natural Science Foundation of China [61976089, 61473259]
  2. Natural Science Foundation of Hunan Province [2021JJ30451]
  3. Hunan Provincial Science & Technology Project Foundation [2018TP1018, 2018RS3065]
  4. Postgraduate Scientific Research Innovation Project of Hunan Province [CX20210431]

向作者/读者索取更多资源

This paper proposes a new three-way decision model based on comprehensive fuzzy concepts and applies it to solve multi-criteria decision-making problems. Comparative analysis shows that the method is feasible and stable.
Currently, more and more researchers use the idea and strategy of three-way decision to guide scientific research. In this paper, we propose two comprehensive fuzzy concepts and apply them to construct a new three-way decision model. Firstly, with the TOPSIS method, this paper regards the optimal distance and the worst distance as the cost fuzzy concept and the benefit fuzzy concept, respectively. Then, based on the fuzzy concepts with opposite characteristics, two comprehensive fuzzy concepts (i.e., the comprehensive benefit fuzzy concept and the comprehensive cost fuzzy concept) are proposed, and the relationship between the decision-making regions corresponding to the two comprehensive fuzzy concepts is discussed. Further, four fuzzy neighborhood operators are used to describe the relationship between any two schemes and the relative loss function is used to compute the loss value of each scheme with different behaviors in different states. Afterwards, we introduce a new three-way decision model to solve the multi-criteria decision-making (MCDM) problem. Comparing analysis, Kendall analysis and Spearman analysis show that our method is feasible and stable. (c) 2022 Elsevier Inc. All rights reserved.

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