Preference degree of triangular fuzzy numbers and its application to multi-attribute group decision making

作者：

Highlights：

• The probability and possibility of TFN are defined to rank TFNs.

• DMs’ weights are derived by the attitude-based individual consensus index.

• The comprehensive utility ratings of alternatives are computed.

• Attribute weights are obtained considering DMs’ risk attitude.

• A new method is proposed for triangular fuzzy MAGDM.

摘要

•The probability and possibility of TFN are defined to rank TFNs.•DMs’ weights are derived by the attitude-based individual consensus index.•The comprehensive utility ratings of alternatives are computed.•Attribute weights are obtained considering DMs’ risk attitude.•A new method is proposed for triangular fuzzy MAGDM.

论文关键词：Triangular fuzzy number,Preference degree,Multi-attribute group decision making,Attitude-based consensus index

论文评审过程：Received 8 November 2020, Revised 2 February 2021, Accepted 29 March 2021, Available online 2 April 2021, Version of Record 3 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114982