Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and application to COVID-19 surveillance

作者：

Highlights：

• A new definition of distance between PLTSs is proposed.

• DM’s difference in linguistic terms is reflected by personalized individual semantic.

• The CRP (consensus reaching process) considers DMs’ willingness.

• Construct minimum preference adjustment models to obtain the adjusted PLPRs.

• The CL (consensus level) of the adjusted DM is increasing in each adjustment round.

摘要

•A new definition of distance between PLTSs is proposed.•DM’s difference in linguistic terms is reflected by personalized individual semantic.•The CRP (consensus reaching process) considers DMs’ willingness.•Construct minimum preference adjustment models to obtain the adjusted PLPRs.•The CL (consensus level) of the adjusted DM is increasing in each adjustment round.

论文关键词：Large-scale group decision making,Personalized individual semantics,Probabilistic linguistic preference relations,Consensus reaching process,COVID-19 surveillance

论文评审过程：Received 14 April 2021, Revised 6 October 2021, Accepted 26 November 2021, Available online 4 December 2021, Version of Record 21 December 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116328