A utility-based three-way group decision consensus model with overlapping subgroups

被引:1
|
作者
Xu, Yanxin [1 ]
Ju, Yanbing [1 ]
Gong, Zaiwu [2 ]
Sun, Junpeng [2 ,3 ]
Dong, Peiwu [1 ]
Porcel, Carlos [3 ]
Herrera-Viedma, Enrique
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Res Inst Risk Governance & Emergency Decis Making, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Sch Management Sci & Engn, Nanjing 210044, Peoples R China
[3] Univ Granada, Andalusian Res Inst Data Sci & Computat Intelligen, Dept Comp Sci & AI, Granada 18071, Spain
基金
中国国家自然科学基金;
关键词
Social network analysis; Overlapping clustering method; Three-way decision; Utility function; Consensus reaching process; CLUSTERING METHOD; FUZZY;
D O I
10.1016/j.ins.2024.120904
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper introduces a relative utility function-based consensus method for three-way group decision (TWGD) in a social network scenario where overlapping subgroups and non-overlapping subgroups co-exist. Firstly, we construct a three-way decision (TWD) model rooted in utility theory, which proposes a novel objective calculation method for the relative utility functions based on evaluation values. The relative utility matrices of decision makers (DMs) are derived on this basis. Secondly, a utility and trust-driven overlapping clustering algorithm is designed to maximize the overall trust level and the difference between subgroup clustering centers, aiming to divide the group into several manageable subgroups. In addition, we identify contrarian DMs, triggering a delegation-exit mechanism, and determine the weights of subgroups and DMs. Thirdly, a three-way group consensus decision model is formulated to provide targeted adjustment strategies for different types of DMs. To improve group consensus, we address the influence of key DMs on the opinions of overlapping subgroups with a minimum adjustment consensus model. Finally, we demonstrate the feasibility and scientificity of the proposed method through the illustrative example, sensitivity analysis, and comparative analysis.
引用
收藏
页数:37
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