融合三支决策与动态网络，提升社交群体决策中的模糊信息处理能力
Fuzzy Information Evolution with Three-Way Decision in Social Network Group Decision-Making
- 引入三支决策机制建模判断犹豫与模糊性
- 基于意见相似度动态调整连接，反映关系演化
- 用语言术语表达观点，更适配主观模糊信息
在群体决策（GDM）中，不确定性、动态社会结构和模糊信息是传统意见演化模型面临的主要挑战。本文提出一种新型社交网络群体决策（SNGDM）框架，融合三支决策（3WD）理论、动态网络重构与语言意见表示。首先，引入3WD机制显式建模代理判断中的犹豫与模糊，避免非理性决策；其次，设计基于意见相似度的连接调整规则，使代理能自适应更新通信链路，更好反映社会关系的动态变化；第三，采用语言术语描述代理意见，更有效处理主观、模糊或不完整信息。最终构建集成多智能体决策框架，同时考虑个体不确定性、意见演化与网络动态。模型应用于多无人机协同决策场景，仿真结果与共识分析验证其有效性。实验对比进一步证明该算法在提升系统稳定性与真实决策行为表征方面的优势。
原文摘要 · Abstract (English)
In group decision-making (GDM) scenarios, uncertainty, dynamic social structures, and vague information present major challenges for traditional opinion dynamics models. To address these issues, this study proposes a novel social network group decision-making (SNGDM) framework that integrates three-way decision (3WD) theory, dynamic network reconstruction, and linguistic opinion representation. First, the 3WD mechanism is introduced to explicitly model hesitation and ambiguity in agent judgments, thereby preventing irrational decisions. Second, a connection adjustment rule based on opinion similarity is developed, enabling agents to adaptively update their communication links and better reflect the evolving nature of social relationships. Third, linguistic terms are used to describe agent opinions, allowing the model to handle subjective, vague, or incomplete information more effectively. Finally, an integrated multi-agent decision-making framework is constructed, which simultaneously considers individual uncertainty, opinion evolution, and network dynamics. The proposed model is applied to a multi-UAV cooperative decision-making scenario, where simulation results and consensus analysis demonstrate its effectiveness. Experimental comparisons further verify the advantages of the algorithm in enhancing system stability and representing realistic decision-making behaviors.
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