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    Consensus Reaching with Time Constraints and Minimum Adjustments in Group with Bounded Confidence Effects

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    Author's copy of accepted paper. (364.7Kb)
    Date
    2019-09-06
    Author
    Liang, Haiming;
    Dong, Yucheng;
    Ureña, Raquel;
    Chiclana, Francisco;
    Herrera-Viedma, Enrique;
    Ding, Zhaogang
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    Abstract
    In the bounded confidence model it is widely known that individuals rely on the opinions of their close friends or people with similar interests. Meanwhile, the decision maker always hopes that the opinions of individuals can reach a consensus in a required time. Therefore, with this idea in mind, this paper develops a consensus reaching model with time constraints and minimum adjustments in a group with bounded confidence effects. In the proposed consensus approach, the minimum adjustments rule is used to modify the initial opinions of individuals with bounded confidence, which can further influence the opinion evolutions of individuals to reach a consensus in a required time. The properties of the model are studied, and detailed numerical examples and comparative simulation analysis are provided to justify its feasibility.
    Description
    The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
    Citation : Liang, H., Dong, Y., Ding, Z., Ureña, R., Chiclana, F., Herrera-Viedma, E. (2019) Consensus Reaching with Time Constraints and Minimum Adjustments in Group with Bounded Confidence Effects. IEEE Transactions on Fuzzy Systems,
    URI
    https://www.dora.dmu.ac.uk/handle/2086/18423
    DOI
    https://doi.org/10.1109/tfuzz.2019.2939970
    ISSN : 1063-6706
    Research Institute : Institute of Artificial Intelligence (IAI)
    Peer Reviewed : Yes
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    • School of Computer Science and Informatics [2966]

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