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A trust-enhanced consensus reaching model based on interaction among decision-makers with incomplete preferences

Xinglian Jian (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China)
Mei Cai (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China) (Research Center of Risk Management and Emergency Decision Making, Nanjing University of Information Science and Technology, Nanjing, China)
Ya Wang (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China)
Yu Gao (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China)

Kybernetes

ISSN: 0368-492X

Article publication date: 12 April 2022

Issue publication date: 25 September 2023

120

Abstract

Purpose

The development of social networks enhances the interaction between people, which brings new challenges to the research of group decision-making (GDM). This study aims at the problem that the synergy and redundancy due to interaction among decision-makers are ignored in the previous GDM, a trust-enhanced consensus reaching model based on interaction among decision-makers with incomplete preferences is proposed.

Design/methodology/approach

Firstly, confidence level is introduced to improve the hesitation phenomenon that should be considered when calculating trust degree; Secondly, a new trust propagation operator is developed to deal with indirect trust relationships; Thirdly, trust degree is transformed into interaction index to quantify the synergy and redundancy in decision-making. Fuzzy capacities of decision-makers are used to replace traditional weights, and the final scores of alternatives are obtained through Choquet integral.

Findings

The proposed model using fuzzy capacity can reflect the synergy or redundancy among decision-makers and improve the accuracy of final ranking result and reduce the loss of information.

Originality/value

This study proposes a trust-enhanced consensus reaching model, which develops a new trust propagation operator to ensure the continuous attenuation of trust in propagation process. And the proposed model uses fuzzy capacity to improve the enhancement or attenuation on the scores of alternatives.

Keywords

Acknowledgements

This work was funded by National Natural Science Foundation of China (NSFC) (71871121), Future Network Scientific Research Fund Project (FNSRFP-2021-YB-19).

Conflict of interest: The authors declare no conflict of interest. This article does not contain any studies with human.

Citation

Jian, X., Cai, M., Wang, Y. and Gao, Y. (2023), "A trust-enhanced consensus reaching model based on interaction among decision-makers with incomplete preferences", Kybernetes, Vol. 52 No. 9, pp. 3758-3780. https://doi.org/10.1108/K-12-2021-1294

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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