Robust evidential reasoning approach with unknown attribute weights
作者：
Highlights：
• We propose a robust evidential reasoning approach for multiple attribute decision making.
• The possible set of best alternatives is identified using unknown attribute weights.
• The robustness of the alternatives in the set is measured from two perspectives.
• A robust rank-order of the alternatives in the set is generated by their robustness.
• Intervals of utilities and relevant constraints are handled in the proposed approach.
摘要
•We propose a robust evidential reasoning approach for multiple attribute decision making.•The possible set of best alternatives is identified using unknown attribute weights.•The robustness of the alternatives in the set is measured from two perspectives.•A robust rank-order of the alternatives in the set is generated by their robustness.•Intervals of utilities and relevant constraints are handled in the proposed approach.
论文关键词：Multiple attribute decision making,Evidential reasoning approach,Robust decision,Unknown attribute weights,Incompatibility among alternatives
论文评审过程：Received 18 January 2013, Revised 26 January 2014, Accepted 31 January 2014, Available online 10 February 2014.
论文官网地址：https://doi.org/10.1016/j.knosys.2014.01.024
