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DEA models for minimizing weight disparity in cross-efficiency evaluation / Y.-M. Wang in Journal of the operational research society (JORS), Vol. 63 N° 8 (Août 2012) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 63 N° 8 (Août 2012) . - pp. 1079–1088 Titre : DEA models for minimizing weight disparity in cross-efficiency evaluation Type de document : texte imprimé Auteurs : Y.-M. Wang, Auteur ; K.-S. Chin, Auteur ; Wang, S., Auteur Année de publication : 2012 Article en page(s) : pp. 1079–1088 Note générale : Operational research Langues : Anglais (eng) Mots-clés : Data  envelopment  analysis  Cross-efficiency  evaluation  Virtual  disparity  DEA  ranking Index. décimale : 001.424 Résumé : 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. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n8/abs/jors2011116a.html [article] DEA models for minimizing weight disparity in cross-efficiency evaluation [texte imprimé] / Y.-M. Wang, Auteur ; K.-S. Chin, Auteur ; Wang, S., Auteur . - 2012 . - pp. 1079–1088. Operational research Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 63 N° 8 (Août 2012) . - pp. 1079–1088 Mots-clés : Data  envelopment  analysis  Cross-efficiency  evaluation  Virtual  disparity  DEA  ranking Index. décimale : 001.424 Résumé : 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. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n8/abs/jors2011116a.html