A novel method for solving data envelopment analysis problems with weak ordinal data using robust measures

作者：

Highlights：

• The input and output data are imprecise in many real-world DEA problems.

• DEA estimates lower or upper bound efficiency in problems with weak ordinal data.

• We propose a pair of DEA models to find exact lower and upper bound efficiencies.

• We propose a robust measure to select the best units with imprecise data.

• We present an application in the space industry to demonstrate applicability.

摘要

•The input and output data are imprecise in many real-world DEA problems.•DEA estimates lower or upper bound efficiency in problems with weak ordinal data.•We propose a pair of DEA models to find exact lower and upper bound efficiencies.•We propose a robust measure to select the best units with imprecise data.•We present an application in the space industry to demonstrate applicability.

论文关键词：Data envelopment analysis,Efficiency measurement,Imprecise data,Weak ordinal data,Robust measures

论文评审过程：Received 3 April 2020, Revised 30 July 2020, Accepted 1 August 2020, Available online 6 August 2020, Version of Record 18 August 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113835