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Fuzzy hegselmann-krause opinion dynamics with opinion leaders
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731.
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731.
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2019 (English)In: 2019 Chinese Control Conference (CCC), 2019, p. 6019-6024Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, from the perspective of opinion dynamics theory, we investigate the intrinsic interaction principles of a group of autonomous agents and develop a fuzzy opinion dynamics model with leaders. First, this paper divides group agents into three subgroups: opinion followers, positive opinion leaders, and negative opinion leaders according to the opinion's update manner and influence. Then, we consider the uncertainty of the agents' opinion gaps and apply the Fuzzy Inference Machine to the effects of the leaders' opinions on a certain follower's opinion. The innovation of this paper is that the weight is distributed from 0 to 1 in accordance with the closeness among the opinion leaders and followers, which is closer to real life. Finally, the simulation results show that the proposed model can effectively explain the opinion interaction and evolution and conforms with the existing theoretical results in the field of opinion dynamics.

Place, publisher, year, edition, pages
2019. p. 6019-6024
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-268252DOI: 10.23919/ChiCC.2019.8865519Scopus ID: 2-s2.0-85074404508OAI: oai:DiVA.org:kth-268252DiVA, id: diva2:1426506
Conference
Chinese Control Conference, CCC 27-30 July 2019
Note

QC 20200427

Available from: 2020-04-27 Created: 2020-04-27 Last updated: 2020-04-27Bibliographically approved

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Publisher's full textScopushttps://ieeexplore.ieee.org/document/8865519

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Hu, Xiaoming

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