Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection

作者：

Highlights：

• A novel divergence measure is proposed for Fermatean fuzzy sets.

• Based on Einstein operations, some Fermatean fuzzy Einstein weighted operators are proposed.

• New MULTIMOORA method is proposed for solving MCDM problems with Fermatean fuzzy information.

• Case study of a EVCS location selection is presented to show the potentiality of the proposed method.

摘要

•A novel divergence measure is proposed for Fermatean fuzzy sets.•Based on Einstein operations, some Fermatean fuzzy Einstein weighted operators are proposed.•New MULTIMOORA method is proposed for solving MCDM problems with Fermatean fuzzy information.•Case study of a EVCS location selection is presented to show the potentiality of the proposed method.

论文关键词：Fermatean fuzzy set,Electric vehicle charging station (EVCS),Divergence measure,Einstein aggregation operators,MCDM,MULTIMOORA

论文评审过程：Received 28 February 2021, Revised 2 May 2021, Accepted 20 May 2021, Available online 28 May 2021, Version of Record 15 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115267