A dynamic multi-criteria decision making model with bipolar linguistic term sets

作者：

Highlights：

• Novel dynamic multi-criteria decision making (DMCDM) model.

• DMCDM manages changes of criteria, alternatives and assessments across the time.

• Experts’ assessments can be elicited in a bipolar linguistic scale (negative, neutral and positive).

• Linguistic information is modeled by the fuzzy linguistic 2-tuple approach.

• Bipolar linguistic 2-tuple values are aggregated by a full-reinforcement uninorm operator.

摘要

•Novel dynamic multi-criteria decision making (DMCDM) model.•DMCDM manages changes of criteria, alternatives and assessments across the time.•Experts’ assessments can be elicited in a bipolar linguistic scale (negative, neutral and positive).•Linguistic information is modeled by the fuzzy linguistic 2-tuple approach.•Bipolar linguistic 2-tuple values are aggregated by a full-reinforcement uninorm operator.

论文关键词：Dynamic multi-criteria decision making,Uninorm,Bipolar scale,Linguistic 2-tuple,Membership function

论文评审过程：Received 1 January 2017, Revised 7 October 2017, Accepted 9 November 2017, Available online 15 November 2017, Version of Record 21 November 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.11.015