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中国管理科学 ›› 2025, Vol. 33 ›› Issue (6): 182-195.doi: 10.16381/j.cnki.issn1003-207x.2022.1835cstr: 32146.14/j.cnki.issn1003-207x.2022.1835

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模糊异构环境下考虑双重交互及不完全理性心理的多属性群决策及应用

赵程伟1, 徐选华2, 刘瑞环1(), 何继善2   

  1. 1.中南林业科技大学经济管理学院,湖南 长沙 410004
    2.中南大学商学院,湖南 长沙 410083
  • 收稿日期:2022-08-21 修回日期:2022-11-18 出版日期:2025-06-25 发布日期:2025-07-04
  • 通讯作者: 刘瑞环 E-mail:Liurhuan@163.com
  • 基金资助:
    国家自然科学基金项目(72301298);国家自然科学基金重大项目(72293574);国家自然科学基金项目(71971217)

Multi-attribute Group Decision-making and Its Application Considering Dual Interaction and Incomplete Rational Psychology in Fuzzy Heterogeneous Environment

Chengwei Zhao1, Xuanhua Xu2, Ruihuan Liu1(), Jishan He2   

  1. 1.School of Economics and Management,Central South University of Forestry and Technology,Changsha 410004,China
    2.School of Business,Central South University,Changsha 410083,China
  • Received:2022-08-21 Revised:2022-11-18 Online:2025-06-25 Published:2025-07-04
  • Contact: Ruihuan Liu E-mail:Liurhuan@163.com

摘要:

针对当前多属性群决策方法基于单型同构信息、属性方案独立或决策者完全理性假设建模的不足,提出了一种模糊异构环境下考虑属性方案双重交互及决策者不完全理性心理的新方法。首先,定义了模糊异构信息的双向投影度量,建立了模糊异构信息双向投影三维集对D-U (确定-不确定)空间同构化模型。其次,构建了变异最大化优化模型确定各交互属性局部交互权重,进而基于λ模糊测度的广义Banzhaf值确定交互属性及属性集的全局交互权重。然后,为表述并测度方案交互,构建了方案综合感知优势度复杂交互网络及全局交互综合感知优势度模型。同时,扩展经典TODIM模型,提出了考虑决策者不完全理性心理的属性方案双重交互TODIM模型确定方案排序。最后,通过干热岩开发选址案例说明了方法的有效性,对比分析验证了其优越性及科学性。

关键词: 多属性群决策, 模糊异构信息, 属性方案双重交互, 不完全理性心理, TODIM模型

Abstract:

Multi-attribute group decision-making (MAGDM) is widely used in many social fields. In practical MAGDM, the heterogeneity between decision makers (DMs) or attributes causes it to be difficult to accurately describe all attribute information in the form of a single preference. Meanwhile, there are often complex interactions between attributes or alternatives, which, if ignored, can easily lead to inaccurate attribute weights and preference information fusion, reducing decision quality. Moreover, due to the psychological influence of the decision environment and subjective cognitive limitations on DMs, DMs are often in a state of incomplete rational psychology during the decision-making process, and this can have a significant impact on the decision results. Therefore, it is necessary and important to consider the heterogeneous information, attribute and alternative interaction, and DMs' incomplete rational psychology in MAGDM. However, few MAGDM methods consider all three aspects simultaneously.To make this gap, a new MAGDM method in a fuzzy heterogeneous environment considering dual interactions and DMs' incomplete rational psychology is proposed. First, a bidirectional projection measurement of fuzzy heterogeneous information is defined, and the homogenous method of three-dimensional D-U space based on bidirectional projection is established. Second, a variance maximization optimization model is constructed to determine the local weights of each interaction attribute, and then the global interaction weights of interaction attributes and attribute sets are determined based on the generalized Banzhaf values of the λ fuzzy measure. Then, to describe and measure the alternative interactions, a alternative complex interaction network of integrated perceptual dominance and a global interaction integrated perceptual dominance model are developed. Following this, the classical TODIM model is extended, and an attribute and alternative dual interaction TODIM model considering the imperfect rational psychology of DMs is proposed to determine the alternative ranking. Finally, the validity and feasibility of the proposed method are proved by a site selection case study of hot dry rock development, and its superiority and scientificity are verified by comparative analysis. The results show that simultaneous consideration of heterogeneous information, attribute and alternative interactions and DMs' incomplete rational psychology will substantially improve the accuracy and robustness of MAGDM methods.

Key words: multi-attribute group decision making, fuzzy heterogeneous information, attribute and alternative double interaction, incomplete rational psychology, TODIM model

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