A probabilistic multiple criteria sorting approach based on distance functions
作者：
Highlights：
• A new distance-based sorting method is proposed for multicriteria sorting problems.
• Several distance norms for aggregation are compared for different data sets.
• Distance to ideal point is shown to be a good indicator for class identification.
• Optimistic and pessimistic positions are determined for each class.
• Optimistic and pessimistic probabilities are calculated for each alternative.
摘要
•A new distance-based sorting method is proposed for multicriteria sorting problems.•Several distance norms for aggregation are compared for different data sets.•Distance to ideal point is shown to be a good indicator for class identification.•Optimistic and pessimistic positions are determined for each class.•Optimistic and pessimistic probabilities are calculated for each alternative.
论文关键词：Multiple criteria sorting,Probabilistic sorting,Distance function based sorting
论文评审过程：Available online 29 December 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.11.049
