A Robust Maximum Fairness Consensus Model With Limited Cost Under the Uncertain Trust Relationships and Individual Weights

被引:0
|
作者
Zhou, Xu [1 ]
Gong, Gaocan [2 ]
Zha, Quanbo [1 ]
Zhan, Min [3 ,4 ,5 ]
机构
[1] Chongqing Univ, Sch Management Sci & Real Estate, Chongqing 400044, Peoples R China
[2] Sichuan Univ, Sch Business, Chengdu 610065, Peoples R China
[3] Hunan Univ Technol & Business, Xiangjiang Lab, Changsha 410205, Peoples R China
[4] Hunan Univ Technol & Business, Sch Digital Media Engn & Humanities, Changsha 410205, Peoples R China
[5] Cent South Univ, Sch Business, Changsha 410083, Peoples R China
来源
关键词
Fairness; group decision making; robust optimization; trust relationship; uncertainty set; GROUP DECISION-MAKING; MINIMUM-COST;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The uncertainty of the trust relationships between decision makers (DMs) or the uncertainty of individual weights will lead to the uncertainty of fairness and consensus management in group. To provide a solid solution, we propose a robust maximum fairness consensus model with limited cost under the uncertain trust relationships and individual weights (RTRMFCM). Specifically, this article constructs an uncertainty set to more precisely describe the uncertainty of the trust relationship between DMs. Based on individual fair preference considerations from the trust network, we adopt a robust optimization method to reduce the risk of DMs feeling unfair. Furthermore, a robust approach based on the combination of uncertain individual weights has been developed to reduce the risk of consensus being destroyed. Then, some theoretical analyzes are presented. We also provide a numerical analysis to validate the applicability of the RTRMFCM. Finally, the simulation analyses have revealed the characteristics of the RTRMFCM, and show that the RTRMFCM is more effective than the maximum fairness consensus model with limited cost under trust relationship (TRMFCM).
引用
收藏
页码:7386 / 7399
页数:14
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