Abstract
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.
Citation
Anrong Yang. Zigang Zhang. Yishi Zhang. Dunliang Chen. "Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency." J. Appl. Math. 2014 (SI22) 1 - 7, 2014. https://doi.org/10.1155/2014/453749
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