A box-uncertainty in DEA: A robust performance measurement framework

作者：

Highlights：

• An efficiency analysis is developed for box-uncertainty data based on RO techniques.

• Robust counterpart of the CCR model is formulated.

• The benevolent and the aggressive cross-efficiency scores are defined for each DMU.

• Two ranking methods are proposed based on RO and cross-efficiency for box-uncertainty data.

• An application on hospital efficiency in East Virginia shows the benefits of methods.

摘要

•An efficiency analysis is developed for box-uncertainty data based on RO techniques.•Robust counterpart of the CCR model is formulated.•The benevolent and the aggressive cross-efficiency scores are defined for each DMU.•Two ranking methods are proposed based on RO and cross-efficiency for box-uncertainty data.•An application on hospital efficiency in East Virginia shows the benefits of methods.

论文关键词：Interval DEA,Box-uncertainty,Robust optimization techniques,Ranking,Fuzzy DEA,Data uncertainty

论文评审过程：Received 27 May 2020, Revised 5 August 2021, Accepted 1 September 2021, Available online 13 September 2021, Version of Record 22 September 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115855