Consensus Reaching with Time Constraints and Minimum Adjustments in Group with Bounded Confidence Effects
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.
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,
ISSN : 1063-6706
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes