A Transformation Method of Noncooperative to Cooperative Behavior by Trust Propagation in Social Network Group Decision Making

In the consensus reaching process (CRP) of social network group decision making (SN-GDM), the non-cooperative behavior exhibited by experts will hinder the achievement of group consensus. This paper develops a non-cooperative behavior management framework based on trust propagation and dynamic cooperation index under bidirectional feedback context. On the one hand, a trust propagation operator with trust decay is established to enhance the trust relationship between non-cooperative experts; On the other hand, the fuzzy preference relations are utilized as preference expression structure, and the mutual reinforcing effect between consensus and trust is explored to achieve the dynamic enhancement of cooperation index, thereby facilitating the transformation of non-cooperative behavior. Specifically, a cooperation index is formulated to identify the non-cooperation behavior. Subsequently, a non-cooperative behavior transformation method by dynamic cooperation index is investigated. Finally, a bidirectional feedback mechanism is provided for group consensus reaching. This paper provides an innovative strategy for detecting and managing non-cooperative behavior, an illustrative example and some analyses are presented to verify the validity of proposed method.

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Publication Details

Journal
IEEE Transactions on Fuzzy Systems
Published
2025-04-04
DOI
https://doi.org/10.1109/tfuzz.2025.3557904
Citations
20
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
26.47
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article

A Transformation Method of Noncooperative to Cooperative Behavior by Trust Propagation in Social Network Group Decision Making

Francisco Chiclana, Mi Zhou, Jian Wu, Tiantian Gai et al.
20 citations
IEEE Transactions on Fuzzy Systems
Opinion Dynamics and Social Influence
26.47
article

A Transformation Method of Noncooperative to Cooperative Behavior by Trust Propagation in Social Network Group Decision Making

Francisco Chiclana, Mi Zhou, Jian Wu, Tiantian Gai, Weidong Jin
article en
20 citations

Abstract

In the consensus reaching process (CRP) of social network group decision making (SN-GDM), the non-cooperative behavior exhibited by experts will hinder the achievement of group consensus. This paper develops a non-cooperative behavior management framework based on trust propagation and dynamic cooperation index under bidirectional feedback context. On the one hand, a trust propagation operator with trust decay is established to enhance the trust relationship between non-cooperative experts; On the other hand, the fuzzy preference relations are utilized as preference expression structure, and the mutual reinforcing effect between consensus and trust is explored to achieve the dynamic enhancement of cooperation index, thereby facilitating the transformation of non-cooperative behavior. Specifically, a cooperation index is formulated to identify the non-cooperation behavior. Subsequently, a non-cooperative behavior transformation method by dynamic cooperation index is investigated. Finally, a bidirectional feedback mechanism is provided for group consensus reaching. This paper provides an innovative strategy for detecting and managing non-cooperative behavior, an illustrative example and some analyses are presented to verify the validity of proposed method.

IEEE Transactions on Fuzzy SystemsVol. 33(7)
Hefei University of Technology (CN), De Montfort University (GB), Shanghai Maritime University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 0%
Opinion Dynamics and Social Influence
26.47
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