Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Uncertain opinion formation based on the bounded confidence model.

Authors
Haiming Liang, Yucheng Dong, Cong-Cong Li
Corresponding Author
Haiming Liang
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.54How to use a DOI?
Keywords
Opinion formation, uncertain opinion, consensus, tolerance, bounded confidence model, communication regime.
Abstract

Opinion formation is well used to investigate a consensus or several clusters among the opinions of a group of interaction agents. This study proposes several bounded confidence models to discuss the uncertain opinion formation. In the proposed models, the agents’ various tolerances (zero-tolerance, partial tolerance and complete tolerance) on the uncertain opinions are firstly identified. Then, the relevant communication regimes are given to determine the confidence set, and the updated opinions are further calculated. Finally, we explore the influences of various types of agents and self-support on the average number of clusters through simulation analysis.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.54How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Haiming Liang
AU  - Yucheng Dong
AU  - Cong-Cong Li
PY  - 2015/06
DA  - 2015/06
TI  - Uncertain opinion formation based on the bounded confidence model.
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 371
EP  - 377
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.54
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.54
ID  - Liang2015/06
ER  -