Two-stage consensus model based on opinion dynamics and evolution of social power in large-scale group decision making

被引:41
作者
Li, Shengli [1 ,3 ]
Rodriguez, Rosa M. [2 ]
Wei, Cuiping [3 ]
机构
[1] Taiyuan Normal Univ, Dept Math, Jinzhong 030619, Peoples R China
[2] Univ Jaen, Dept Comp Sci, Jaen 23071, Spain
[3] Yangzhou Univ, Coll Math Sci, Yangzhou 225002, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Large scale group decision making; Consensus reaching process; Opinion dynamics; Social power; REACHING PROCESS; NETWORK; INFORMATION; CONSISTENCY; FRAMEWORK; FUSION;
D O I
10.1016/j.asoc.2021.107615
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The main challenges in large scale group decision making (LSGDM) problem are how to tackle with the great number of participants and how to achieve a common solution accepted by most of participants. To address these challenges, in this paper, we propose a novel framework based on opinion evolution to study the consensus reaching process (CRP) in the LSGDM. In the proposed framework, we focus on the CRP in a dynamical social influence relationship context and the whole CRP is divided into two stages. In the first stage, we design a social power and opinion evolution iterative algorithm to estimate the final consensus opinions in each sub-group. In the second stage, the opinion leaders are selected as the representatives of each sub-group to participate in the consensus process. Subsequently, we develop a self-appraisal mechanism to evaluate the confidence degree of each opinion leader. Furthermore, an opinion leaders' networked preference evolution mechanism is proposed to investigate the consensus formation of the second stage. Finally, we use this model on a case study and compare it with some existing models. (C) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:15
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