Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency

Cross-efficiency evaluation is an effective and widely used method for ranking decision making units (DMUs) in data envelopment analysis (DEA). Gap minimization criterion is introduced in aggressive and benevolent cross-efficiency methods to avoid possible extreme efficiency from peer-evaluation and...

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Main Authors: Anrong Yang, Zigang Zhang, Yishi Zhang, Dunliang Chen
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/453749
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author Anrong Yang
Zigang Zhang
Yishi Zhang
Dunliang Chen
author_facet Anrong Yang
Zigang Zhang
Yishi Zhang
Dunliang Chen
author_sort Anrong Yang
collection DOAJ
description Cross-efficiency evaluation is an effective and widely used method for ranking decision making units (DMUs) in data envelopment analysis (DEA). Gap minimization criterion is introduced in aggressive and benevolent cross-efficiency methods to avoid possible extreme efficiency from peer-evaluation and to get equitable results. On the basis of this criterion, a weighted cross-efficiency method with similarity distance that, respectively, considers the aggressive and the benevolent formulations is proposed to determine cross-efficiency. The weights of the cross-evaluation determined by this method are positively influenced by self-evaluation and thus are propitious to resolving conflict. Numerical demonstration reveals the feasibility of the proposed method.
format Article
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institution Kabale University
issn 1110-757X
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language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-4475e75ce2b241468a5413c7f485b4fd2025-02-03T01:02:32ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/453749453749Gap Minimization for Peer-Evaluation in DEA Cross-EfficiencyAnrong Yang0Zigang Zhang1Yishi Zhang2Dunliang Chen3School of Management, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan 430074, ChinaSchool of Management, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan 430074, ChinaSchool of Management, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan 430074, ChinaSchool of Management, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan 430074, ChinaCross-efficiency evaluation is an effective and widely used method for ranking decision making units (DMUs) in data envelopment analysis (DEA). Gap minimization criterion is introduced in aggressive and benevolent cross-efficiency methods to avoid possible extreme efficiency from peer-evaluation and to get equitable results. On the basis of this criterion, a weighted cross-efficiency method with similarity distance that, respectively, considers the aggressive and the benevolent formulations is proposed to determine cross-efficiency. The weights of the cross-evaluation determined by this method are positively influenced by self-evaluation and thus are propitious to resolving conflict. Numerical demonstration reveals the feasibility of the proposed method.http://dx.doi.org/10.1155/2014/453749
spellingShingle Anrong Yang
Zigang Zhang
Yishi Zhang
Dunliang Chen
Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency
Journal of Applied Mathematics
title Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency
title_full Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency
title_fullStr Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency
title_full_unstemmed Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency
title_short Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency
title_sort gap minimization for peer evaluation in dea cross efficiency
url http://dx.doi.org/10.1155/2014/453749
work_keys_str_mv AT anrongyang gapminimizationforpeerevaluationindeacrossefficiency
AT zigangzhang gapminimizationforpeerevaluationindeacrossefficiency
AT yishizhang gapminimizationforpeerevaluationindeacrossefficiency
AT dunliangchen gapminimizationforpeerevaluationindeacrossefficiency