Documents disponibles écrits par cet auteur

A compromise solution approach for finding common weights in DEA / M. Zohrehbandian in Journal of the operational research society (JORS), Vol. 61 N° 4 (Avril 2010) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 61 N° 4 (Avril 2010) . - pp. 604–610 Titre : A compromise solution approach for finding common weights in DEA : an improvement to Kao and Hung's approach Type de document : texte imprimé Auteurs : M. Zohrehbandian, Auteur ; Ahmad Makui, Auteur ; A. Alinezhad, Auteur Année de publication : 2010 Article en page(s) : pp. 604–610 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : MOLP  Compromise  solution  DEA  Efficiency  Ranking  Weight  restrictions Index. décimale : 001.424 Résumé : Data envelopment analysis (DEA) is the leading technique for measuring the relative efficiency of decision-making units (DMUs) on the basis of multiple inputs and multiple outputs. In this technique, the weights for inputs and outputs are estimated in the best advantage for each unit so as to maximize its relative efficiency. But, this flexibility in selecting the weights deters the comparison among DMUs on a common base. For dealing with this difficulty, Kao and Hung (2005) proposed a compromise solution approach for generating common weights under the DEA framework. The proposed multiple criteria decision-making (MCDM) model was derived from the original non-linear DEA model. This paper presents an improvement to Kao and Hung's approach by means of introducing an MCDM model which is derived from a new linear DEA model. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n4/abs/jors20094a.html [article] A compromise solution approach for finding common weights in DEA : an improvement to Kao and Hung's approach [texte imprimé] / M. Zohrehbandian, Auteur ; Ahmad Makui, Auteur ; A. Alinezhad, Auteur . - 2010 . - pp. 604–610. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 61 N° 4 (Avril 2010) . - pp. 604–610 Mots-clés : MOLP  Compromise  solution  DEA  Efficiency  Ranking  Weight  restrictions Index. décimale : 001.424 Résumé : Data envelopment analysis (DEA) is the leading technique for measuring the relative efficiency of decision-making units (DMUs) on the basis of multiple inputs and multiple outputs. In this technique, the weights for inputs and outputs are estimated in the best advantage for each unit so as to maximize its relative efficiency. But, this flexibility in selecting the weights deters the comparison among DMUs on a common base. For dealing with this difficulty, Kao and Hung (2005) proposed a compromise solution approach for generating common weights under the DEA framework. The proposed multiple criteria decision-making (MCDM) model was derived from the original non-linear DEA model. This paper presents an improvement to Kao and Hung's approach by means of introducing an MCDM model which is derived from a new linear DEA model. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n4/abs/jors20094a.html

Finding common weights based on the DM's preference information / G. R. Jahanshahloo in Journal of the operational research society (JORS), Vol. 62 N° 10 (Octobre 2011) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 62 N° 10 (Octobre 2011) . - pp. 1796–1800 Titre : Finding common weights based on the DM's preference information Type de document : texte imprimé Auteurs : G. R. Jahanshahloo, Auteur ; M. Zohrehbandian, Auteur ; A. Alinezhad, Auteur Année de publication : 2011 Article en page(s) : pp. 1796–1800 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Efficiency  analysis  Data  envelopment  analysis  Common  weights  Multiple  criteria  decision  making  Value  function Index. décimale : 001.424 Résumé : Data Envelopment Analysis (DEA) is basically a linear programming-based technique used for measuring the relative performance of organizational units, referred to as Decision Making Units (DMUs). The flexibility in selecting the weights in standard DEA models deters the comparison among DMUs on a common base. Moreover, these weights are not suitable to measure the preferences of a decision maker (DM). For dealing with the first difficulty, the concept of common weights was proposed in the DEA literature. But, none of the common weights approaches address the second difficulty. This paper proposes an alternative approach that we term as ‘preference common weights’, which is both practical and intellectually consistent with the DEA philosophy. To do this, we introduce a multiple objective linear programming model in which objective functions are input/output variables subject to the constraints similar to the equations that define production possibility set of standard DEA models. Then by using the Zionts–Wallenius method, we can generate common weights as the DM's underlying value structure about objective functions. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n10/abs/jors2010156a.html [article] Finding common weights based on the DM's preference information [texte imprimé] / G. R. Jahanshahloo, Auteur ; M. Zohrehbandian, Auteur ; A. Alinezhad, Auteur . - 2011 . - pp. 1796–1800. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 62 N° 10 (Octobre 2011) . - pp. 1796–1800 Mots-clés : Efficiency  analysis  Data  envelopment  analysis  Common  weights  Multiple  criteria  decision  making  Value  function Index. décimale : 001.424 Résumé : Data Envelopment Analysis (DEA) is basically a linear programming-based technique used for measuring the relative performance of organizational units, referred to as Decision Making Units (DMUs). The flexibility in selecting the weights in standard DEA models deters the comparison among DMUs on a common base. Moreover, these weights are not suitable to measure the preferences of a decision maker (DM). For dealing with the first difficulty, the concept of common weights was proposed in the DEA literature. But, none of the common weights approaches address the second difficulty. This paper proposes an alternative approach that we term as ‘preference common weights’, which is both practical and intellectually consistent with the DEA philosophy. To do this, we introduce a multiple objective linear programming model in which objective functions are input/output variables subject to the constraints similar to the equations that define production possibility set of standard DEA models. Then by using the Zionts–Wallenius method, we can generate common weights as the DM's underlying value structure about objective functions. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n10/abs/jors2010156a.html