Ranked hesitant fuzzy sets for multi-criteria multi-agent decisions
作者：
Highlights：
• We introduce a new model called ranked hesitant fuzzy sets.
• We develop scores in this framework.
• An algorithm produces information fusion of ranked information under hesitancy.
• Mathematica codes facilitate reproducibility of these computations.
• We apply these elements to multi-criteria multi-agent decisions.
摘要
•We introduce a new model called ranked hesitant fuzzy sets.•We develop scores in this framework.•An algorithm produces information fusion of ranked information under hesitancy.•Mathematica codes facilitate reproducibility of these computations.•We apply these elements to multi-criteria multi-agent decisions.
论文关键词：Hesitant fuzzy set,Aggregation operator,Score,Ranking,Decision making
论文评审过程：Received 10 June 2021, Revised 23 June 2022, Accepted 22 July 2022, Available online 28 July 2022, Version of Record 6 August 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118276
