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首页> 外文期刊>International Journal of Fuzzy Systems >A Consensus Model for Intuitionistic Fuzzy Group Decision-Making Problems Based on the Construction and Propagation of Trust/Distrust Relationships in Social Networks
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A Consensus Model for Intuitionistic Fuzzy Group Decision-Making Problems Based on the Construction and Propagation of Trust/Distrust Relationships in Social Networks

机译：基于社交网络信赖/不信任关系的构建与传播的直观模糊组决策问题的共识模型

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摘要

The preference values in group decision-making (GDM) process can differ significantly between different experts, which may yield a low level of group consensus. Therefore, different consensus models have been developed for the modification of preference values to assist experts in improving their consensus degrees. However, most consensus models do not consider collective intelligence (CI) that may decrease as the consensus degree increases under certain circumstances. From the perspective of CI, the distrust relationship allows the group to better explore the decision space, rather than prematurely converge on an agreed suboptimal solution. Inspired by this idea, a theoretical framework of solving intuitionistic fuzzy GDM problems with low group consensus is proposed in this paper, which mainly includes two steps: (1) building the trust/distrust relationships and (2) establishing a consensus model. For two experts with a direct relationship, the trust/distrust relationships between them are constructed by fusing their knowledge levels and representativeness levels. For two experts with an indirect relationship, a new operator is designed to construct the trust/distrust relationships between them, which can describe the information attenuation of the decreasing trust along with the increasing distrust. Additionally, a consensus model based on the social network relationships density and trust/distrust relationships is proposed, which improves consensus degree and CI level conducively. Finally, a ranking of alternatives is constructed to select the optimal alternative. An illustrative example is used to demonstrate the effectiveness and applicability of the proposed method.
机译：组决策（GDM）过程中的偏好值可以在不同的专家之间显着差异，这可能产生低水平的组共识。因此，已经开发了不同的共识模型，用于修改偏好值，以帮助专家提高共识。然而，大多数共识模型不考虑在某些情况下的共识程度增加时可能会降低的集体智能（CI）。从CI的角度来看，不信任关系使小组更好地探索决策空间，而不是过早地收敛于商定的次优解决方案。通过这个想法的启发，在本文中提出了一种解决与低组合共识的直觉模糊GDM问题的理论框架，主要包括两个步骤：（1）建立信任/不信任关系和（2）建立共识模型。对于具有直接关系的两个专家，他们之间的信任/不信任关系是通过融合他们的知识水平和代表性水平来构建的。对于两位专家与间接的关系，新的运营商旨在建立它们之间的信任/不信任关系，这可以描述降低信任的信息衰减与增加的不信任一起。此外，提出了一种基于社交网络关系密度和信任/不信任关系的共识模型，其有助于改善共识度和CI水平。最后，构建替代方案的排名以选择最佳替代方案。说明性示例用于证明所提出的方法的有效性和适用性。

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  • 来源
    《International Journal of Fuzzy Systems》 |2020年第8期|2664-2679|共16页
  • 作者

    Feng Pei; Yu-Wei He; An Yan; Mi Zhou; Yu-Wang Chen; Jian Wu;

  • 作者单位

    School of Management Hefei University of Technology Hefei Anhui China Key Laboratory of Process Optimization and Intelligent Decision Making Ministry of Education Hefei Anhui China;

    School of Management Hefei University of Technology Hefei Anhui China Key Laboratory of Process Optimization and Intelligent Decision Making Ministry of Education Hefei Anhui China;

    School of Management Hefei University of Technology Hefei Anhui China Key Laboratory of Process Optimization and Intelligent Decision Making Ministry of Education Hefei Anhui China;

    School of Management Hefei University of Technology Hefei Anhui China Key Laboratory of Process Optimization and Intelligent Decision Making Ministry of Education Hefei Anhui China;

    Alliance Manchester Business School The University of Manchester Manchester UK;

    School of Economics and Management Shanghai Maritime University Shanghai China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Intuitionistic fuzzy group decision-making; Trust/distrust relationships; Consistency; Consensus model; Collective intelligence;

    机译：直觉模糊组决策;信任/不信任关系;一致性;共识模型;集体智力;

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