Paper Info
Title
Weight determination in the cross-efficiency evaluation
Abstract
A neutral data envelopment analysis (DEA) model for cross-efficiency evaluation was recently proposed by Wang and Chin [Wang and Chin (2010b). A neutral DEA model for cross-efficiency evaluation and its extension. Expert Systems with Applications, 37(5), 3666-3675], which maximinimizes the relative efficiency of each output and effectively reduces the number of zero weights of outputs. Since a large number of zero weights may still exist among inputs, this paper proposes a simultaneously input- and output-oriented weight determination DEA model for the cross-efficiency evaluation. The new DEA model proves to reduce the number of zero weights for both inputs and outputs very significantly, as illustrated by numerical examples. The weights determined by the new DEA model are neutral, neither aggressive nor benevolent.
Year
DOI
Venue
2011
10.1016/j.cie.2011.04.004
Computers & Industrial Engineering
Keywords
DocType
Volume
maximinimization,data envelopment analysis,dea model,neutral data,expert systems,neutral dea model,zero weight,weight determination,new dea model,input- and output-orientation,large number,cross-efficiency evaluation,numerical example,weight determination model,envelopment analysis,relative efficiency,data envelope analysis,expert system
Journal
61
Issue
ISSN
Citations 
3
Computers & Industrial Engineering
8
PageRank 
References 
Authors
0.53
2
3
Name
Order
Citations
PageRank
Ying-Ming Wang13256166.96
Kwai-Sang Chin2103354.69
Peng Jiang380.53