A multiobjective DEA approach to ranking alternatives

作者：

Highlights：

• We present a new method for ranking that combines DEA and multiobjective concepts.

• Multiobjective DEA is approached from the space of aggregate inputs and outputs.

• A computational experiment has been performed with encouraging results.

• The new procedure shows a better discrimination performance than two known methods.

摘要

•We present a new method for ranking that combines DEA and multiobjective concepts.•Multiobjective DEA is approached from the space of aggregate inputs and outputs.•A computational experiment has been performed with encouraging results.•The new procedure shows a better discrimination performance than two known methods.

论文关键词：Data Envelopment Analysis,Multiobjective,Optimization,Common-weight DEA,Ranking

论文评审过程：Received 2 September 2015, Revised 18 December 2015, Accepted 19 December 2015, Available online 29 December 2015, Version of Record 18 January 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.12.022