Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency
Joint Authors
Zhang, Yishi
Yang, Anrong
Chen, Dunliang
Zhang, Zigang
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-06
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yang, Anrong& Zhang, Zigang& Zhang, Yishi& Chen, Dunliang. 2014. Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-472818
Modern Language Association (MLA)
Yang, Anrong…[et al.]. Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency. Journal of Applied Mathematics No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-472818
American Medical Association (AMA)
Yang, Anrong& Zhang, Zigang& Zhang, Yishi& Chen, Dunliang. Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-472818
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-472818