<p>Group decision-making (GDM) faces critical challenges due to cognitive conflicts arising from decision-makers (DMs)’ personalized risk attitudes (PRAs) shaped by diverse personalities and experiences. This study develops an integrated conflict-elimination framework that systematically addresses the challenges that arise from PRAs in GDM. We first propose a quantum-fused PRAs model to account for the interference effect to obtain PRAs. Then, we formulate a Choquet integral-based satisfaction optimization model to determine the group’s collective risk attitude and quantify attitude discrepancies. A bi-level optimization model simulates the conflict-elimination process, capturing the interaction between the moderator and DMs. In cases of PRA heterogeneity, the concept of resistance to conflict elimination (RCE) is introduced to assess the moderator’s ability to persuade DMs to adjust their opinions. Based on RCE, two sub-cases are discussed. Finally, numerical application with sensitivity and comparative analyses demonstrate the feasibility and effectiveness of the proposed approach. This study contributes to GDM by providing an innovative approach to conflict elimination based on PRAs.</p>

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Conflict Elimination Mechanism in Group Decision-Making Guided by Quantum-Integrated Personalized Risk Attitudes

  • Siqi Zhang,
  • Jianjun Zhu

摘要

Group decision-making (GDM) faces critical challenges due to cognitive conflicts arising from decision-makers (DMs)’ personalized risk attitudes (PRAs) shaped by diverse personalities and experiences. This study develops an integrated conflict-elimination framework that systematically addresses the challenges that arise from PRAs in GDM. We first propose a quantum-fused PRAs model to account for the interference effect to obtain PRAs. Then, we formulate a Choquet integral-based satisfaction optimization model to determine the group’s collective risk attitude and quantify attitude discrepancies. A bi-level optimization model simulates the conflict-elimination process, capturing the interaction between the moderator and DMs. In cases of PRA heterogeneity, the concept of resistance to conflict elimination (RCE) is introduced to assess the moderator’s ability to persuade DMs to adjust their opinions. Based on RCE, two sub-cases are discussed. Finally, numerical application with sensitivity and comparative analyses demonstrate the feasibility and effectiveness of the proposed approach. This study contributes to GDM by providing an innovative approach to conflict elimination based on PRAs.