A visual interaction consensus approach for fuzzy social network with trust propagation

Wei-xue Diao, Yong Liu (), Jin-hong Yi, Xue-ge Guo and Jun Yang
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Wei-xue Diao: Jiangnan University
Yong Liu: Jiangnan University
Jin-hong Yi: Jiangnan University
Xue-ge Guo: Jiangnan University
Jun Yang: Jiangnan University

Fuzzy Optimization and Decision Making, 2025, vol. 24, issue 3, No 1, 367-396

Abstract: Abstract With the rapid development of the Internet and the increase in online communication, complex social relationship produces new challenges to group decision making. To deal with the group consensus problems consisting of fuzzy preference information and incomplete trust relationship, considering trust propagation, we exploit the theory and methods of network analysis, clustering, Pythagorean fuzzy set, and group decision making to construct a fuzzy information social network group consensus approach, and discuss four different scenarios of consensus (high–high, high–low, low–high and low–low) between the interest subgroups and whole social network by setting different compromise parameter values for different situations to reduce the supervision cost and keep initial opinions as much as possible. Finally, we use a vaccine selection case to verify the rationality and applicability of the proposed model.

Keywords: Pythagorean fuzzy set; Social network; Group consensus; Trust propagation (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10700-025-09450-4

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