A three-level consensus model for large-scale multi-attribute group decision analysis based on distributed preference relations under social network analysis

作者：

Highlights：

• Clustering method based on trust-confidence analysis for LS-MAGDA is proposed.

• The idea for separating clustering and consensus reaching process is analyzed.

• Group consensus models and feedback mechanisms at three levels are discussed.

• The concept of collective distributed preference relation is proposed.

摘要

•Clustering method based on trust-confidence analysis for LS-MAGDA is proposed.•The idea for separating clustering and consensus reaching process is analyzed.•Group consensus models and feedback mechanisms at three levels are discussed.•The concept of collective distributed preference relation is proposed.

论文关键词：Large-scale multi-attribute group decision analysis,Clustering,Group consensus,Trust-confidence analysis,Evidential reasoning,Identification rule

论文评审过程：Received 5 March 2022, Revised 24 April 2022, Accepted 14 May 2022, Available online 19 May 2022, Version of Record 24 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117603