Universal efficiency scores in data envelopment analysis based on a robust approach

作者：

Highlights：

• We propose novel DEA efficiency scores based on a robust viewpoint.

• The scores give a universal tool for comparing DMU’s.

• We show many remarkable properties of the scores and its interpretation.

• We present extensions for uncertain data, additional DMU’s and inputs/outputs.

摘要

•We propose novel DEA efficiency scores based on a robust viewpoint.•The scores give a universal tool for comparing DMU’s.•We show many remarkable properties of the scores and its interpretation.•We present extensions for uncertain data, additional DMU’s and inputs/outputs.

论文关键词：Data envelopment analysis,Robustness,Interval analysis,Linear programming

论文评审过程：Received 24 April 2018, Revised 11 October 2018, Accepted 4 January 2019, Available online 6 January 2019, Version of Record 30 January 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.01.019