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A Large-Scale Group Decision-Making Model Considering Expert Authority Degree and Relationship Evolution Under Social Network

Author

Listed:
  • Hong Huo

    (Harbin University of Commerce
    Heilongjiang Key Laboratory of Philosophy and Social Sciences)

  • Ruinan Sun

    (Harbin University of Commerce
    Heilongjiang Key Laboratory of Philosophy and Social Sciences)

  • Hao He

    (Harbin University of Commerce
    Heilongjiang Key Laboratory of Philosophy and Social Sciences)

  • Zongwei Ren

    (Harbin University of Commerce
    Heilongjiang Key Laboratory of Philosophy and Social Sciences)

Abstract

In Large-Scale Group Decision-Making (LSGDM), effectively implementing consensus models is pivotal for managing decision complexity. While trust-based LSGDM has garnered attention, there remains a need for deeper insights into the dynamics of interexpert trust and the impact of authority effects on the decision-making process. This study introduces a sophisticated model for large-scale group decision-making, incorporating considerations of expert “trustworthiness-authority.” Initially, the study assesses the trustworthiness of experts based on social network relationships and opinion similarity while using background information and consensus levels to establish their authority. Subsequently, experts are categorized into four distinct regions based on their trustworthiness and authority assessments. Furthermore, tailored consensus adjustment methods are proposed for each region based on social contagion theory to facilitate consensus achievement. Additionally, a case study is conducted to demonstrate the rationality and effectiveness of the proposed LSGDM model, considering expert “trustworthiness-authority.” Finally, the necessity and superiority of the proposed model are further verified through comparison analysis and sensitivity analysis.

Suggested Citation

  • Hong Huo & Ruinan Sun & Hao He & Zongwei Ren, 2024. "A Large-Scale Group Decision-Making Model Considering Expert Authority Degree and Relationship Evolution Under Social Network," Group Decision and Negotiation, Springer, vol. 33(4), pages 839-881, August.
    • Handle: RePEc:spr:grdene:v:33:y:2024:i:4:d:10.1007_s10726-024-09892-y
    DOI: 10.1007/s10726-024-09892-y
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    References listed on IDEAS

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    1. Francineide Morais Bezerra & Paulo Melo & João Paulo Costa, 2017. "Reaching Consensus with VICA-ELECTRE TRI: A Case Study," Group Decision and Negotiation, Springer, vol. 26(6), pages 1145-1171, November.
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    5. Gong, Zaiwu & Guo, Weiwei & Słowiński, Roman, 2021. "Transaction and interaction behavior-based consensus model and its application to optimal carbon emission reduction," Omega, Elsevier, vol. 104(C).
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