Rank aggregation methods dealing with ordinal uncertain preferences
作者：
Highlights：
• A two-step rank aggregation model for interval ordinal rankings is proposed.
• A matrix retrieving dominance possibilities is built from uncertain data.
• Priority vectors are derived from the dominance aggregate matrix.
• The model can manage uncertain and incomplete rank information with ties.
• Computational methods are proposed to solve the optimization problems.
摘要
•A two-step rank aggregation model for interval ordinal rankings is proposed.•A matrix retrieving dominance possibilities is built from uncertain data.•Priority vectors are derived from the dominance aggregate matrix.•The model can manage uncertain and incomplete rank information with ties.•Computational methods are proposed to solve the optimization problems.
论文关键词：Group decision-making,Rank aggregation,Uncertain information,Interval ordinal number,Fuzzy preference relation
论文评审过程：Received 16 June 2016, Revised 26 January 2017, Accepted 27 January 2017, Available online 2 February 2017, Version of Record 16 February 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.01.051
