Paper Info
Title
DEA models for minimizing weight disparity in cross-efficiency evaluation.
Abstract
Cross-efficiency evaluation is a commonly used approach for ranking decision-making units (DMUs) in data envelopment analysis (DEA). The weights used in the cross-efficiency evaluation may sometimes differ significantly among the inputs and outputs. This paper proposes some alternative DEA models to minimize the virtual disparity in the cross-efficiency evaluation. The proposed DEA models determine the input and output weights of each DMU in a neutral way without being aggressive or benevolent to the other DMUs. Numerical examples are tested to show the validity and effectiveness of the proposed DEA models and illustrate their significant role in reducing the number of zero weights. © 2012 Operational Research Society Ltd. All rights reserved.
Year
DOI
Venue
2012
10.1057/jors.2011.116
JORS
Keywords
Field
DocType
cross-efficiency evaluation,data envelopment analysis,dea ranking,virtual disparity,information technology,data envelope analysis,management science,inventory,project management,investment,location,scheduling,computer science,logistics,operational research,operations research,production,reliability,forecasting,communications technology,information systems,marketing
Ranking,Scheduling (computing),Cross efficiency,Computer science,Input/output,Data envelopment analysis,Operations management
Journal
Volume
Issue
ISSN
63
8
14769360
Citations 
PageRank 
References 
6
0.52
19
Authors
3
Name
Order
Citations
PageRank
Ying-Ming Wang13256166.96
Kwai-Sang Chin2103354.69
S. Wang3191.12