Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic preference relations

作者：

Highlights：

• Transformations between DLPRs and fuzzy preference relations are studied.

• The consistency of DLPRs is constructed and analyzed.

• Two consistency-driven optimization models are built to personalize numerical scales.

• Two two-objective optimization models are built to determine group numerical scales.

• A GDM approach with DLPRs is proposed and applied to two practical GDM problems.

摘要

•Transformations between DLPRs and fuzzy preference relations are studied.•The consistency of DLPRs is constructed and analyzed.•Two consistency-driven optimization models are built to personalize numerical scales.•Two two-objective optimization models are built to determine group numerical scales.•A GDM approach with DLPRs is proposed and applied to two practical GDM problems.

论文关键词：Group decision making (GDM),Numerical scale model,Personalized individual semantics,Consensus measure,Distribution linguistic preference relation (DLPR)

论文评审过程：Received 2 January 2019, Revised 2 July 2019, Accepted 25 September 2019, Available online 4 October 2019, Version of Record 16 January 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.105078