MADM method based on prospect theory and evidential reasoning approach with unknown attribute weights under intuitionistic fuzzy environment

作者：

Highlights：

• The extended measures of intuitionistic fuzzy entropy and cross entropy are proposed.

• The proposed optimization models ensure the objectivity and reasonability of weights.

• The proposed approach can reduce the loss of decision making information.

• The decision results based on human bounded rationality can be more realistic.

摘要

•The extended measures of intuitionistic fuzzy entropy and cross entropy are proposed.•The proposed optimization models ensure the objectivity and reasonability of weights.•The proposed approach can reduce the loss of decision making information.•The decision results based on human bounded rationality can be more realistic.

论文关键词：Decision analysis,Multi-attribute decision making,Prospect theory,Evidential reasoning approach,Entropy

论文评审过程：Received 27 February 2017, Revised 10 July 2017, Accepted 11 July 2017, Available online 12 July 2017, Version of Record 18 July 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.07.012