| 量子认知驱动下考虑有序交互的群决策共识模型 |
| A Quantum Cognition-Driven Group Decision Consensus Model Considering Ordered Interactions |
| 摘要点击 12 全文点击 0 投稿时间：2026-03-18 修订日期：2026-09-11 |
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| 中文关键词 量子认知；干涉效应；顺序效应；共识达成；结构化协商 |
| 英文关键词 Quantum Cognition; Interference Effects; Order Effects; Consensus Reaching; Structured Negotiation |
| 基金项目 国家自然科学基金项目（面上项目，重点项目，重大项目） |
| 投稿方向 综合评价与决策 |
| 作者 | 单位 | 邮编 | | 张发明* | 桂林电子科技大学 | 541004 | | 郑豪益 | 桂林电子科技大学 | | | 曾奎 | 桂林电子科技大学 | | | 曹玲 | 桂林电子科技大学 | | | 陈星雨 | 桂林电子科技大学 | |
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| 中文摘要 |
| 针对共识达成群决策过程中决策者间的相互干扰和有序交互中的排序问题, 文章基于量子认知理论提出一种考虑有序交互的群决策共识方法. 首先, 构建双层类量子贝叶斯网络集结群体评价, 并根据干涉角大小对决策者的交互倾向进行分类; 其次, 集结决策者的干涉角量化其在群体中的干涉效应, 结合评价一致性动态更新决策者权重; 随后, 基于量子认知理论生成非共识决策者不同情景下的调整认知, 考虑不同信息源的影响力差距集结不同交互下认知得到调整结果, 并通过优化模型求解量子信念更新中的酉矩阵参数; 最后, 通过联合风险投资问题验证方法的可行性. 结果表明所提方法能有效反映交互排序差异对共识达成的影响, 其具备较好的共识效率. |
| 英文摘要 |
| Addressing the issues of mutual interference among decision-makers and the ordering problem
in orderly interactions during the consensus-reaching process of group decision-making, this paper proposes
a group decision consensus method incorporating ordered interactions based on quantum cognition theory.
First, a two-layer quantum-like Bayesian network is constructed to aggregate group evaluations, and decision-makers’
interaction tendencies are classiffed according to the magnitude of interference angles. Second, the in-terference
angles of decision-makers are aggregated to quantify their interference effects within the group, and
decision-makers’ weights are dynamically updated in conjunction with evaluation consistency. Subsequently,
based on quantum cognition theory, the adjustment cognitions of non-consensus decision-makers under dif-ferent
scenarios are generated. The adjusted results are obtained by aggregating cognitions under different
interactions while accounting for the inffuence disparities among different information sources, and the unitary
matrix parameters in quantum belief updating are solved through an optimization model. Finally, the feasibility
of the proposed method is validated through a joint venture capital problem. The results demonstrate that the
proposed method can effectively capture the impact of interaction ordering differences on consensus achieve-ment
and exhibits favorable consensus efffciency. |
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