Title
Universal efficiency scores in data envelopment analysis based on a robust approach.
Abstract
•We propose novel DEA efficiency scores based on a robust viewpoint.•The scores give a universal tool for comparing DMU’s.•We show many remarkable properties of the scores and its interpretation.•We present extensions for uncertain data, additional DMU’s and inputs/outputs.
Year
DOI
Venue
2019
10.1016/j.eswa.2019.01.019
Expert Systems with Applications
Keywords
Field
DocType
Data envelopment analysis,Robustness,Interval analysis,Linear programming
Linear-fractional programming,Data mining,Mathematical optimization,Normalization (statistics),Computer science,Robust optimization,Inefficiency,Invariant (mathematics),Linear programming,Data envelopment analysis,Decision maker
Journal
Volume
ISSN
Citations 
122
0957-4174
0
PageRank 
References 
Authors
0.34
15
1
Name
Order
Citations
PageRank
Milan Hladík126836.33