A likelihood-based preference ranking organization method using dual point operators for multiple criteria decision analysis in Pythagorean fuzzy uncertain contexts

作者：

Highlights：

• Investigating merits of dual point operators towards Pythagorean membership grades.

• Exploiting a point operator-based likelihood measure in Pythagorean fuzzy contexts.

• Proposing novel predominance indices and predominance-based preference functions.

• Developing a new preference ranking organization method for enrichment evaluations.

• Validating the effectiveness via a practical application and comparative analysis.

摘要

•Investigating merits of dual point operators towards Pythagorean membership grades.•Exploiting a point operator-based likelihood measure in Pythagorean fuzzy contexts.•Proposing novel predominance indices and predominance-based preference functions.•Developing a new preference ranking organization method for enrichment evaluations.•Validating the effectiveness via a practical application and comparative analysis.

论文关键词：Pythagorean fuzzy (PF) set,Point operator-based likelihood measure,Preference ranking organization method for enrichment evaluations (PROMETHEE),Multiple criteria decision analysis (MCDA),Predominance-based preference function

论文评审过程：Received 16 March 2020, Revised 24 February 2021, Accepted 5 March 2021, Available online 11 March 2021, Version of Record 2 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114881