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A Consensus Model for Large-Scale Group Decision-Making Based on the Trust Relationship Considering Leadership Behaviors and Non-cooperative Behaviors

Author

Listed:
  • Chenxi Zhang

    (Northeastern University
    Sichuan University)

  • Meng Zhao

    (Northeastern University
    Sichuan University
    Northeastern University at Qinhuangdao)

  • Lichao Zhao

    (Northeastern University)

  • Qinfei Yuan

    (Northeastern University)

Abstract

Large-scale group decision-making (LSGDM) based on social networks has become an important part of practical decision-making. The trust relationship in social networks has an influence on not only the clustering process but also the consensus reaching process (CRP). Decision-makers (DMs) can take different behaviors by using the trust relationship to influence consensus reaching, so identifying the adjustment behaviors of DMs in CRP is essential. This study considers the influence of the trust relationship on the CRP and proposes a behavior analysis-based consensus model that comprehensively considers the leadership behaviors and non-cooperative behaviors. First, based on the clustering result, the preference similarity of two DMs with the direct trust relationship is calculated to judge whether leadership behavior exists. By judging the leadership behaviors, the number of effective DMs involved in LSGDM will be reduced. Second, based on the identification of leadership behaviors, the non-cooperative or cooperative behaviors are defined by judging whether the adjustment behaviors of effective DMs are conducive to achieving group consensus. Third, the weights of effective DMs and subgroups are punished or rewarded by quantifying the degree of non-cooperative or cooperative behaviors. Finally, the simulation experiments and comparative analysis are presented to illustrate the efficiency of the proposed method.

Suggested Citation

  • Chenxi Zhang & Meng Zhao & Lichao Zhao & Qinfei Yuan, 2021. "A Consensus Model for Large-Scale Group Decision-Making Based on the Trust Relationship Considering Leadership Behaviors and Non-cooperative Behaviors," Group Decision and Negotiation, Springer, vol. 30(3), pages 553-586, June.
    • Handle: RePEc:spr:grdene:v:30:y:2021:i:3:d:10.1007_s10726-021-09723-4
    DOI: 10.1007/s10726-021-09723-4
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    References listed on IDEAS

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    1. Liu, Bingsheng & Shen, Yinghua & Zhang, Wei & Chen, Xiaohong & Wang, Xueqing, 2015. "An interval-valued intuitionistic fuzzy principal component analysis model-based method for complex multi-attribute large-group decision-making," European Journal of Operational Research, Elsevier, vol. 245(1), pages 209-225.
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    Cited by:

    1. Xiaohong Chen & Weiwei Zhang & Xuanhua Xu & Wenzhi Cao, 2022. "Managing Group Confidence and Consensus in Intuitionistic Fuzzy Large Group Decision-Making Based on Social Media Data Mining," Group Decision and Negotiation, Springer, vol. 31(5), pages 995-1023, October.
    2. Lu Chen & Ayad Hendalianpour & Mohammad Reza Feylizadeh & Haiyan Xu, 2023. "Factors Affecting the Use of Blockchain Technology in Humanitarian Supply Chain: A Novel Fuzzy Large-Scale Group-DEMATEL," Group Decision and Negotiation, Springer, vol. 32(2), pages 359-394, April.
    3. Jinmuzi Zhang & Haiyan Xu & Ginger Y. Ke, 2024. "A Novel Consensus and Dissent Framework Under Grey Preference Based on the Graph Model for Conflict Resolution for Two Decision Makers," Group Decision and Negotiation, Springer, vol. 33(4), pages 711-744, August.
    4. ming, Luo & GuoHua, Zhou & Wei, Wei, 2021. "Study of the Game Model of E-Commerce Information Sharing in an Agricultural Product Supply Chain based on fuzzy big data and LSGDM," Technological Forecasting and Social Change, Elsevier, vol. 172(C).

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