WASPAS-based decision making methodology with unknown weight information under uncertain evaluations
作者：
Highlights：
• Basic operational laws of uncertain probabilistic linguistic term sets are revised.
• A novel uncertain probabilistic linguistic comparison method is introduced.
• Several uncertain probabilistic linguistic aggregation operators are revised.
• An uncertain probabilistic linguistic simple weighted geometry operator is designed.
• WASPAS is extended to uncertain probabilistic linguistic environment.
摘要
•Basic operational laws of uncertain probabilistic linguistic term sets are revised.•A novel uncertain probabilistic linguistic comparison method is introduced.•Several uncertain probabilistic linguistic aggregation operators are revised.•An uncertain probabilistic linguistic simple weighted geometry operator is designed.•WASPAS is extended to uncertain probabilistic linguistic environment.
论文关键词：UPLTSs: Aggregation operators,Uncertainty,MCGDM,Entropy and WASPAS method
论文评审过程：Received 16 June 2020, Revised 12 October 2020, Accepted 20 October 2020, Available online 2 November 2020, Version of Record 24 January 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114143
