Fuzzy inference based Hegselmann–Krause opinion dynamics for group decision-making under ambiguity

作者：

Highlights：

• Studying collective behaviors on social networks.

• Fuzzy inference based opinion dynamics is built for group decision-making under ambiguity.

• Influence graph is employed to model the communication network.

• Fuzzy inference engine is used to determine the interaction weights among agents.

• Quantitative analysis is provided for the collective opinion evolution.

摘要

•Studying collective behaviors on social networks.•Fuzzy inference based opinion dynamics is built for group decision-making under ambiguity.•Influence graph is employed to model the communication network.•Fuzzy inference engine is used to determine the interaction weights among agents.•Quantitative analysis is provided for the collective opinion evolution.

论文关键词：Opinion dynamics,Bounded confidence,Fuzzy inference,Group decision-making,Influence network

论文评审过程：Received 28 January 2021, Revised 10 June 2021, Accepted 23 June 2021, Available online 13 July 2021, Version of Record 13 July 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102671