Super efficiency SBM-DEA and neural network for performance evaluation

作者：

Highlights：

• A super efficiency SBM model is used to construct the relative effective frontier.

• Machine learning algorithms are used to construct regression model and establish the absolute effective frontier.

• Compared with the traditional data envelopment analysis method, the absolute effective frontier displays better evaluation.

• Compared with the data envelopment analysis and neural network fusion done in the previous literature, the absolute effective frontier can better overcome data envelopment analysis's own problems.

摘要

•A super efficiency SBM model is used to construct the relative effective frontier.•Machine learning algorithms are used to construct regression model and establish the absolute effective frontier.•Compared with the traditional data envelopment analysis method, the absolute effective frontier displays better evaluation.•Compared with the data envelopment analysis and neural network fusion done in the previous literature, the absolute effective frontier can better overcome data envelopment analysis's own problems.

论文关键词：Data envelopment analysis,Neural network,Performance evaluation,Super-efficiency SBM

论文评审过程：Received 1 May 2021, Revised 12 August 2021, Accepted 13 August 2021, Available online 30 August 2021, Version of Record 30 August 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102728