The upper and lower bound evaluation based on the quantile efficiency in stochastic data envelopment analysis

作者：

Highlights：

• Two stochastic DEA models are built to achieve an interval efficiency evaluation.

• Like the CCR-efficiency, our stochastic efficiencies are relative efficiencies.

• The deterministic equivalents of our models are developed.

• Three examples are presented to illustrate the performance of our approach.

摘要

•Two stochastic DEA models are built to achieve an interval efficiency evaluation.•Like the CCR-efficiency, our stochastic efficiencies are relative efficiencies.•The deterministic equivalents of our models are developed.•Three examples are presented to illustrate the performance of our approach.

论文关键词：Data envelopment analysis,Stochastic DEA,Chance constraint,Quantile,Interval efficiency

论文评审过程：Received 22 August 2016, Revised 8 May 2017, Accepted 9 May 2017, Available online 11 May 2017, Version of Record 17 May 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.023