A transformation method of non-cooperative to cooperative behavior by trust propagation in social network group decision making
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DOI码：10.1109/TFUZZ.2025.3557904
发表刊物：IEEE TRANSACTIONS ON FUZZY SYSTEMS（中科院一区）
摘要：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 mech anism 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.
合写作者：Francisco Chiclana,Weidong Jin,Mi Zhou,Jian Wu(通讯作者)
第一作者：Tiantian Gai
论文类型：期刊论文
学科门类：管理学
文献类型：J
是否译文：否
发表时间：2025-04-01
收录刊物：SCI
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