An adjustable fuzzy chance-constrained network DEA approach with application to ranking investment firms

作者：

Highlights：

• Develop a novel Fuzzy Network DEA approach using adjustable possibilistic programming.

• Reviews real-world applications of FNDEA literature.

• The proposed fuzzy network DEA model is flexible, adjustable, general, and applicable.

• The FNDEA method is capable to rank of Two-stage DMUs under fuzzy data.

• The presented approach is applied to the performance evaluation of investment firms.

摘要

•Develop a novel Fuzzy Network DEA approach using adjustable possibilistic programming.•Reviews real-world applications of FNDEA literature.•The proposed fuzzy network DEA model is flexible, adjustable, general, and applicable.•The FNDEA method is capable to rank of Two-stage DMUs under fuzzy data.•The presented approach is applied to the performance evaluation of investment firms.

论文关键词：Network data envelopment analysis,Two-stage structure,Fuzzy chance-constrained programming,Adjustable possibilistic programming,Investment firms

论文评审过程：Received 12 May 2020, Revised 11 August 2020, Accepted 27 August 2020, Available online 12 September 2020, Version of Record 9 October 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113938