Consensus Model with Double Feedback Mechanism Based on Dynamic Trust Relationship in Social Network Group Decision-Making

Authors

Yueqin Gu¹, Tiantian Hao¹, Dong Cheng^2, , Juan Wang³, Faxin Cheng^{1, *}

¹School of Management, Jiangsu University, Zhenjiang 212013, China

²Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China

³School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China

^*Corresponding author. Email: chengfaxin@163.com

DOI

10.2991/ijcis.d.201228.001How to use a DOI?

Keywords

Double feedback mechanism; Consensus model; Trust score adjustment; Alternative dominance degree; Alternative content

Abstract

In social network group decision-making, adjusting the opinions of decision makers is often used to promote consensus. But decision makers are not always willing to accept the feedback mechanism, and decision-makers' trust relationships are not constant during the consensus process. This paper constructs a novel consensus model with double feedback mechanism based on dynamic relationship to solve social network group decision-making problems. It overcomes the deficiency of single feedback mechanism and improves consensus degrees. This double feedback mechanism comprises a weight feedback mechanism and an alternative-contents feedback mechanism. In each round of this double feedback mechanism, the trust relationships between decision makers are dynamic, the trust scores are adjusted to update the weights of decision makers on the basis of the weight feedback mechanism. Synchronously, adjust the contents of alternatives with low dominance degree according to the alternative-contents feedback mechanism, which can change the evaluation opinions of the decision makers. Moreover, an example of a decision-making problem about a Public-Private-Partnership construction project illustrates the feasibility and validity of the proposed method. Finally, the comparisons between this paper and existing studies help point out the advantages of the proposed methods which can improve decision makers' consensus degrees and satisfaction with alternatives.

Copyright

© 2021 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Yueqin Gu
AU  - Tiantian Hao
AU  - Dong Cheng
AU  - Juan Wang
AU  - Faxin Cheng
PY  - 2021
DA  - 2021/01/04
TI  - Consensus Model with Double Feedback Mechanism Based on Dynamic Trust Relationship in Social Network Group Decision-Making
JO  - International Journal of Computational Intelligence Systems
SP  - 491
EP  - 502
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.201228.001
DO  - 10.2991/ijcis.d.201228.001
ID  - Gu2021
ER  -