Consensus-trust driven bidirectional feedback mechanism in social network group decision making.

Abstract

This paper proposes a consensus-trust driven framework of bidirectional interaction for social network large-group decision making. Firstly, the concepts of interaction consensus threshold and interaction trust threshold are defined, which are used to discriminate the interaction modes between subgroups into four categories. Corresponding hybrid feedback strategies are designed in which the consensus level and trust level of subgroups are regarded as reliable resources to facilitate the achievement of group consensus. Secondly, a minimum adjustment bidirectional feedback model considering cohesion is developed to help the interacting subgroups reach mutual consensus with minimum opinion modification. Finally, the proposed consensus framework is applied to a blockchain platform selection problem in supply chain to demonstrate the effectiveness and applicability of the 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

Social network large-group decision making, Consensus, Feedback mechanism, Bidirectional interaction, Trust

Citation

Gai, T., Cao, M., Chiclana, F., Zhang, Z., Dong, Y., Herrera-Viedma, E. and Wu, J. (2022) Consensus-trust driven bidirectional feedback mechanism in social network group decision making. Group Decision and Negotiation,

Rights

Research Institute

Institute of Artificial Intelligence (IAI)