An extended multiple criteria data envelopment analysis model

作者：

Highlights：

• We extend weighted MCDEA model based on a lower bound for the weights.

• We improve discriminating power and weight dispersion simultaneously.

• The sensitivity analysis of weights and the simulation are implemented.

• A new DEA-based model is formulated to rank the efficient units.

摘要

•We extend weighted MCDEA model based on a lower bound for the weights.•We improve discriminating power and weight dispersion simultaneously.•The sensitivity analysis of weights and the simulation are implemented.•A new DEA-based model is formulated to rank the efficient units.

论文关键词：Data envelopment analysis (DEA),Multiple criteria DEA (MCDEA),Discriminating power,Simulation

论文评审过程：Received 13 October 2016, Revised 3 December 2016, Accepted 22 December 2016, Available online 24 December 2016, Version of Record 17 January 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.12.030