Paper Info
Title
A new DEA-based method for fully ranking all decision-making units.
Abstract
Decision makers always lay great emphasis on performance evaluation upon a group of peer business units to pick out the best performer. Standard data envelopment analysis models can evaluate the relative efficiency of decision-making units (DMUs) and distinguish efficient ones from inefficient ones. However, when there are more than one efficient DMU, it is impossible to rank all of them solely according to standard efficiency scores. In this paper, a new method for fully ranking all DMUs is proposed, which is based on the combination of each efficient DMU's influence on all the other DMUs and the standard efficiency scores. This method is effective in helping decision makers differentiate all units' performance thoroughly and select the best performer.
Year
DOI
Venue
2010
10.1111/j.1468-0394.2010.00553.x
EXPERT SYSTEMS
Keywords
Field
DocType
data envelopment analysis (DEA),decision-making units (DMUs),performance evaluation,ranking
Efficiency,Data mining,Ranking,Computer science,Data envelopment analysis,Artificial intelligence,Machine learning
Journal
Volume
Issue
ISSN
27.0
5.0
0266-4720
Citations 
PageRank 
References 
12
0.63
4
Authors
5
Name
Order
Citations
PageRank
Juan Du11548.02
Liang Liang29312.93
Feng Yang3422.29
Gong-bing Bi416916.90
Xiao-Bo Yu5120.63