Consensus Reaching with Minimum Cost of Informed Individuals and Time Constraints in Group Decision Making

Date

2022-04-06

Advisors

Journal Title

Journal ISSN

ISSN

1063-6706

Volume Title

Publisher

IEEE

Type

Article

Peer reviewed

Yes

Abstract

Consensus reaching process (CRP) is important and present in a wide range of application areas. In practical CRP, the managers (e.g., enterprise) often hire some informed individuals (e.g., persuaders) to promote the efficiency of consensus reaching. This paper proposes a CRP with minimum cost of informed individuals and time constraint in large-scale group decision making (LSGDM) with bounded confidence effects. The consensus model with bounded confidence effects (CBC model) is formulated. Then, desirable properties of the CBC model are discussed to facilitate its resolution. Next, an extended Particle Swarm Optimization (PSO) algorithm is designed to solve the CBC model. Finally, a numerical analysis, a comparison analysis and a simulation analysis are provided to illustrate the feasibility and effectiveness of the proposed approach.

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.

Keywords

Costs, Decision making, Time factors, Numerical models, Business, Analytical models, Social networking (online), Large-scale Group decision making, Consensus, Time constraint, Informed individual, Bounded confidence

Citation

Liang, H., Kou, G., Dong, Y., Chiclana, F. and Herrera-Viedma, E. (2022) Consensus Reaching with Minimum Cost of Informed Individuals and Time Constraints in Group Decision Making. IEEE Transactions on Fuzzy Systems, 30 (11), pp. 4991 - 5004

Rights

Research Institute