Two-Stage Heterogeneous Noncooperative Behavior for Consensus in Large Scale Group Decision under Fuzzy Distributed Preference Relation
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DOI码：10.1109/TFUZZ.2025.3608025
发表刊物：IEEE Transactions on Fuzzy Systems（中科院一区）
关键字：Fuzzy distributed preference relation, large scale multi-attribute group decision making, additive consistency, two-stage consensus reaching model, opinion leader, heterogeneous noncooperative behavior.
摘要：LS-MAGDM is common in practice. How to apply it and form a consistent solution has become a hot topic in decision science research. The evaluation information expression and experts’ behaviors formed during decision-making process have been shown to have important impact for reaching consensus. Based on this, consensus reaching process for LSMAGDM considering opinion leaders and two-stage heterogeneous noncooperative behavior is proposed. Firstly, we define cardinal consistency of fuzzy distributed preference relation (FDPR) based on additive consistency. The FDPR score calculation method satisfying additive consistency is presented. Secondly, we put forward the identification method of opinion leaders. Starting from social network and evaluation information, the concepts of authority, stability, professionalismand reliability are defined and combined to measure expert’s leadership ability. Then, the multi-objective optimization model is constructed to identify opinion leader in each subgroup. Finally, consensus reaching models based on two-stage heterogeneous noncooperative behavior are proposed. Noncooperative degree is introduced to measure noncooperative behavior of experts or subgroups. Different feedback mechanisms and noncooperative behavior management methods are applied to both the intra-subgroup and inter-subgroup consensus reaching stages. Finally, the feasibility of this method is verified by a case study of remanufacturer quality assessment and comparative analysis with some state-of-the-art methods.
合写作者：Mi Zhou（通讯作者）,Bayi Cheng,Jian Wu,Hamido Fujita
第一作者：Xinyu Fan
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：2025-07-18
收录刊物：SCI
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