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

Hong Huo (), Ruinan Sun (), Hao He () and Zongwei Ren ()
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Hong Huo: Harbin University of Commerce
Ruinan Sun: Harbin University of Commerce
Hao He: Harbin University of Commerce
Zongwei Ren: Harbin University of Commerce

Group Decision and Negotiation, 2024, vol. 33, issue 4, No 5, 839-881

Abstract: 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.

Keywords: Expert authority; Expert trustworthiness; Large scale group decision-making; Social network analysis; Trustworthiness-authority consensus model (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10726-024-09892-y

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