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<p>As decision-making problems become increasingly complex, ensuring both efficiency and decision quality in group decision-making (GDM) has become a significant challenge. When a large number of alternatives are involved, traditional single-stage processes may impose substantial cognitive and time burdens on decision-makers (DMs). To address this issue, this study proposes a two-stage group decision-making (TS-GDM) framework, consisting of a screening stage for preliminary filtering and a selection stage for comprehensive evaluation. The proposed framework incorporates an opinion aggregation method in the screening stage, an opinion dynamics model in the selection stage, and an expert extraction method based on simple random sampling. Then, a case study is conducted to demonstrate the model’s ability to capture both consensus and fragmentation. Simulation results further confirm the robustness of the proposed approach and highlight the critical role of the screening stage. In addition, parameter analysis reveals that both the structure of the social trust network and the similarity of opinions among DMs significantly influence the propagation and evolution of group opinions. Overall, the findings of this study provide valuable insights into two-stage group decision-making processes and offer practical guidance for designing efficient frameworks that achieve reliable and high-quality decisions.</p>

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A Two-Stage Group Decision Making Model Based on Influence Game in Social Trust Network: a Cooperative Game Perspective

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月8日

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  • Xue Feng,
  • Shifeng Liu,
  • T.C.E. Cheng,
  • Yuan Xu,
  • Xiaopu Shang

摘要

As decision-making problems become increasingly complex, ensuring both efficiency and decision quality in group decision-making (GDM) has become a significant challenge. When a large number of alternatives are involved, traditional single-stage processes may impose substantial cognitive and time burdens on decision-makers (DMs). To address this issue, this study proposes a two-stage group decision-making (TS-GDM) framework, consisting of a screening stage for preliminary filtering and a selection stage for comprehensive evaluation. The proposed framework incorporates an opinion aggregation method in the screening stage, an opinion dynamics model in the selection stage, and an expert extraction method based on simple random sampling. Then, a case study is conducted to demonstrate the model’s ability to capture both consensus and fragmentation. Simulation results further confirm the robustness of the proposed approach and highlight the critical role of the screening stage. In addition, parameter analysis reveals that both the structure of the social trust network and the similarity of opinions among DMs significantly influence the propagation and evolution of group opinions. Overall, the findings of this study provide valuable insights into two-stage group decision-making processes and offer practical guidance for designing efficient frameworks that achieve reliable and high-quality decisions.