Two stage feedback mechanism with different power structures for consensus in large-scale group decision-making

Date

2022-01-21

Advisors

Journal Title

Journal ISSN

ISSN

1063-6706

Volume Title

Publisher

IEEE

Type

Article

Peer reviewed

Yes

Abstract

This paper investigates a two stage consensus feedback mechanism that considers different power structures in large scale group decision making (LSGDM) environments. A Louvain algorithm type is used to detect subgroups in LSGDM by trust relationship. The concepts of internal subgroups and external subgroup consensus levels are defined, and an approach to identify the inconsistent individual/subgroup is developed to avoid the issue of pseudoconsensus. Combined with the background of the companys shareholder power management regulations, three power structures are constructed: absolute power, relative power and democratic power. A two stage feedback mechanism is investigated with minimum adjustments to achieve the optimal power allocation under each power structure. This mechanism supports individuals reach consensus both inside and outside their subgroup. An illustrative example and discussions to verify the validity of the proposed method are reported.

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

Large-scale group decision making, Consensus measurement, Power structure analysis, Social network, Minimum adjustment

Citation

Wang, S., Wu, J., Chiclana, F., Sun, Q., Herrera-Viedma, E. (2022) Two stage feedback mechanism with different power structures for consensus in large-scale group decision-making. IEEE Transactions on Fuzzy Systems, 30 (10), pp. 4177 - 4189

Rights

Research Institute

Institute of Artificial Intelligence (IAI)