An optimal feedback model to prevent manipulation behaviours in consensus under social network group decision making

Date

2020-04-06

Advisors

Journal Title

Journal ISSN

ISSN

1063-6706

Volume Title

Publisher

IEEE Xplore

Type

Article

Peer reviewed

Yes

Abstract

A novel framework to prevent manipulation behaviour in consensus reaching process under social network group decision making is proposed, which is based on a theoretically sound optimal feedback model. The manipulation behaviour classification is twofold: (1) ‘individual manipulation’ where each expert manipulates his/her own behaviour to achieve higher importance degree (weight); and (2) ‘group manipulation’ where a group of experts force inconsistent experts to adopt specific recommendation advices obtained via the use of fixed feedback parameter. To counteract ‘individual manipulation’, a behavioural weights assignment method modelling sequential attitude ranging from ‘dictatorship’ to ‘democracy’ is developed, and then a reasonable policy for group minimum adjustment cost is established to assign appropriate weights to experts. To prevent ‘group manipulation’, an optimal feedback model with objective function the individual adjustments cost and constraints related to the threshold of group consensus is investigated. This approach allows the inconsistent experts to balance group consensus and adjustment cost, which enhances their willingness to adopt the recommendation advices and consequently the group reaching consensus on the decision making problem at hand. A numerical example is presented to illustrate and verify the proposed optimal feedback model.

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

Consensus, social network, group decision making, feedback process, manipulation behaviour, adjustment cost

Citation

Wu, J., Cao, M., Chiclana, F., Dong, Y., Herrera-Viedma, E. (2020) An optimal feedback model to prevent manipulation behaviours in consensus under social network group decision making. IEEE Transactions on Fuzzy Systems,

Rights

Research Institute

Institute of Artificial Intelligence (IAI)