A minimum cost-maximum consensus jointly driven feedback mechanism under harmonious structure in social network group decision making

Date

2023-10-30

Advisors

Journal Title

Journal ISSN

ISSN

0957-4174

Volume Title

Publisher

Elsevier

Type

Article

Peer reviewed

Yes

Abstract

This article investigates a minimum cost-maximum consensus jointly driven feedback mechanism under a harmonious power structure by twofold group and individual attention recommendations for building social network consensus. Harmonious power structure is first constructed with subgroup-centrality-IOWA operator by (i) extracting subgroup importance rankings through social network analysis, and (ii) minimising group structure conflict to search the harmony weight allocation. Subsequently, a twofold attention recommendation approach that balances group attention and individual attention is proposed to generate feedback recommendations for the feedback recipients. Based on this, optimisation models that minimise individual adjustment cost and maximise group consensus are constructed, jointly driving the feedback mechanism. Finally, a demonstration example is provided to illustrate the efficacy of the proposed 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 group decision making, Consensus, Harmonious power structure, Twofold attention recommendation, Feedback mechanism

Citation

Wang, S., Chiclana, F., Chang, J.L., Xing, Y. and Wu, J. (2023) A minimum cost-maximum consensus jointly driven feedback mechanism under harmonious structure in social network group decision making. Expert Systems with Applications, 238, Part F, 122358

Rights

Attribution-NonCommercial-NoDerivs 2.0 UK: England & Wales
http://creativecommons.org/licenses/by-nc-nd/2.0/uk/

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