IFS/ER-based large-scale multiattribute group decision-making method by considering expert knowledge structure

作者：

Highlights：

• Information extraction mechanism is introduced to match expert knowledge structure.

• Expert reliability and attribute weight are both used to discount decision information.

• The analytical ER rule-based models are established to make information combination.

• Programming model satisfied experts is used to derive the optimal evaluation results.

• Algorithm is proposed to solve the LMGDM problems.

摘要

•Information extraction mechanism is introduced to match expert knowledge structure.•Expert reliability and attribute weight are both used to discount decision information.•The analytical ER rule-based models are established to make information combination.•Programming model satisfied experts is used to derive the optimal evaluation results.•Algorithm is proposed to solve the LMGDM problems.

论文关键词：Group decision making,Large-scale group decision making,Multiple attribute decision-making,Interval-valued intuitionistic fuzzy set,Analytical evidential reasoning

论文评审过程：Received 31 January 2018, Revised 16 July 2018, Accepted 25 July 2018, Available online 26 July 2018, Version of Record 5 December 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.07.034