A comparative study of robust efficiency analysis and Data Envelopment Analysis with imprecise data

作者：

Highlights：

• Integrating the results of CCR efficiency analysis and robust efficiency analysis is critical.

• Models are developed to determine the bounds of an entity’s robust efficiency score.

• It is the first experimental study to assess efficiency analysis procedures with imprecise data.

• Computational results suggest that a perfect efficient DMU performs well on average.

摘要

•Integrating the results of CCR efficiency analysis and robust efficiency analysis is critical.•Models are developed to determine the bounds of an entity’s robust efficiency score.•It is the first experimental study to assess efficiency analysis procedures with imprecise data.•Computational results suggest that a perfect efficient DMU performs well on average.

论文关键词：Data Envelopment Analysis (DEA),Performance measurement,Robust efficiency analysis,Perfect efficiency,Potential efficiency,Imprecise data

论文评审过程：Received 10 November 2016, Revised 20 March 2017, Accepted 21 March 2017, Available online 22 March 2017, Version of Record 30 March 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.03.043