A novel MADM technique based on extended power generalized Maclaurin symmetric mean operators under probabilistic dual hesitant fuzzy setting and its application to sustainable suppliers selection

作者：

Highlights：

• A novel probabilistic dual hesitant fuzzy entropy is proposed.

• Some novel probabilistic dual hesitant fuzzy distance measures are proposed.

• The PDHFEPGMSM and PDHFWEPGMSM operators are proposed.

• A novel MADM technique is proposed based on the PDHFWEPGMSM operator.

• Case study of a SSS is presented to show the potentiality of the proposed technique.

摘要

•A novel probabilistic dual hesitant fuzzy entropy is proposed.•Some novel probabilistic dual hesitant fuzzy distance measures are proposed.•The PDHFEPGMSM and PDHFWEPGMSM operators are proposed.•A novel MADM technique is proposed based on the PDHFWEPGMSM operator.•Case study of a SSS is presented to show the potentiality of the proposed technique.

论文关键词：Multi-attribute decision-making (MADM),Probabilistic dual hesitant fuzzy set (PDHFS),Extended power average (EPA) operator,Generalized Maclaurin symmetric mean (GMSM) operator,Sustainable supplier selection (SSS)

论文评审过程：Received 28 December 2021, Revised 15 March 2022, Accepted 25 April 2022, Available online 28 April 2022, Version of Record 20 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117419