Mixed uncertainties in data envelopment analysis: A fuzzy-robust approach

作者：

Highlights：

• Mixed fuzzy-robust uncertainty is addressed in data envelopment analysis (DEA).

• Scenario-based robust DEA models under different return to scale conditions have been proposed.

• Fuzzy DEA models corresponding to each of the robust scenarios are developed.

• Numerical examples and a real case study are discussed.

摘要

•Mixed fuzzy-robust uncertainty is addressed in data envelopment analysis (DEA).•Scenario-based robust DEA models under different return to scale conditions have been proposed.•Fuzzy DEA models corresponding to each of the robust scenarios are developed.•Numerical examples and a real case study are discussed.

论文关键词：Data envelopment analysis,Robust optimization,Fuzzy set theory,Uncertain efficiency measurement

论文评审过程：Received 10 August 2017, Revised 14 February 2018, Accepted 11 March 2018, Available online 13 March 2018, Version of Record 30 March 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.03.017