Determining attribute weights for multiple attribute decision analysis with discriminating power in belief distributions

作者：

Highlights：

• A method for obtaining attribute weights in MADA is proposed.

• Three types of discriminating power are constructed to generate integrated weights.

• Transitivity of comparisons among three alternatives using Hurwicz rule is analyzed.

• The proposed method is used to analyze a focal firm selection problem.

摘要

•A method for obtaining attribute weights in MADA is proposed.•Three types of discriminating power are constructed to generate integrated weights.•Transitivity of comparisons among three alternatives using Hurwicz rule is analyzed.•The proposed method is used to analyze a focal firm selection problem.

论文关键词：Multiple attribute decision analysis,Attribute weights,Transitivity,Belief distributions,Analytical algorithm

论文评审过程：Received 28 June 2017, Revised 9 October 2017, Accepted 8 December 2017, Available online 9 December 2017, Version of Record 3 February 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2017.12.009