计算机科学
有界函数
数学优化
约束(计算机辅助设计)
比例(比率)
过程(计算)
航程(航空)
粒子群优化
时间限制
运筹学
机器学习
数学
工程类
物理
几何学
数学分析
航空航天工程
法学
操作系统
量子力学
政治学
作者
Haiming Liang,Gang Kou,Yucheng Dong,Francisco Chiclana,Enrique Herrera-Viedma
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:30 (11): 4991-5004
标识
DOI:10.1109/tfuzz.2022.3165373
摘要
Consensus reaching process (CRP) is important and present in a wide range of application areas. In practical CRP, the managers (e.g., enterprise) often hire some informed individuals (e.g., persuaders) to promote the efficiency of consensus reaching. This article proposes a CRP with minimum cost of informed individuals and time constraint in large-scale group decision-making (LSGDM) with bounded confidence effects. The consensus model with bounded confidence effects (CBC model) is formulated. Then, desirable properties of the CBC model are discussed to facilitate its resolution. Next, an extended particle swarm optimization algorithm is designed to solve the CBC model. Finally, a numerical analysis, a comparison analysis, and a simulation analysis are provided to illustrate the feasibility and effectiveness of the proposed approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI