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A Fuzzy-set based formulation for minimum cost consensus models
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DOI：10.1016/j.cie.2023.109295.png)
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摘要
En 中文
Minimum Cost Consensus (MCC) models are a popular approach to obtaining consensus in Group Decision -Making (GDM) problems, but previous extensions of these models have not been thoroughly analyzed in terms of their relationships and generalizability, which limits the practical application of these models. This paper presents a reformulation of MCC models for GDM problems using the Fuzzy Set Theory. The proposed fuzzy -based MCC (FZZ-MCC) framework offers a clearer understanding of MCC models and their extensions, as well as a rigorous and flexible methodology for addressing various types of GDM problems. The applicability of the FZZ-MCC framework is demonstrated through three practical examples related to e-democracy, personnel selection, and green supplier selection.
Keyword:
Minimum cost consensus
Fuzzy set theory
E-democracy
Personnel selection
Brand reputation
Green supplier selection
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期刊
IF:
6.5
论文数:
1.0W
被引数:
3.8W
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