Experimental comparison of results provided by ranking methods in Data Envelopment Analysis
作者：
Highlights：
• We consider the use of efficiency analysis methods for ranking Decision Making Units.
• We formalize a new category of ranking methods based on robustness analysis.
• The results provided by sixteen methods are compared on real and artificial datasets.
• The real-world sets are typcial for, e.g., finances, education, or transportation.
• We indicate groups of ranking methods offering similar or distinct results
摘要
•We consider the use of efficiency analysis methods for ranking Decision Making Units.•We formalize a new category of ranking methods based on robustness analysis.•The results provided by sixteen methods are compared on real and artificial datasets.•The real-world sets are typcial for, e.g., finances, education, or transportation.•We indicate groups of ranking methods offering similar or distinct results
论文关键词：Data envelopment analysis,Ranking method,Robustness analysis,Monte Carlo simulation,Experimental comparison
论文评审过程：Received 11 August 2020, Revised 8 December 2020, Accepted 13 February 2021, Available online 21 February 2021, Version of Record 5 March 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114739
