As an extension to data envelopment analysis (DEA), cross-efficiency evaluation not only provides a ranking among the decision-making units (DMUs) but also eliminates unrealistic DEA weighting schemes without requiring a priori information on weight restrictions. A factor that possibly reduces the usefulness of the cross-efficiency evaluation method is that the cross-efficiency scores may not be unique due to the presence of alternate optima. As a result, it is recommended that secondary goals be introduced in cross-efficiency evaluation. This paper seeks to extend the model of Doyle and Green [1994. Efficiency and cross efficiency in DEA: Derivations, meanings and the uses. Journal of the Operational Research Society 45 (5), 567-578], by i...
Data envelopment analysis (DEA) has been extended to cross-efficiency to provide better discriminati...
Abstract The usual models in DEA (Data Envelopment Analysis) employ a postulate of continuity to obt...
In Data Envelopment Analysis (DEA), a variety of approaches have been used in the context of single-...
Cross efficiency is a method with the idea of peer evaluation instead of self-evaluation, and is use...
The purpose of the current paper is to propose a new model for the secondary goal in DEA by introduc...
In this paper we examine a neglected aspect of Data Envelopment Analysis: cross-efficiency. We devel...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
The cross-efficiency evaluation (CEE) method, which was developed as a contribution to classical Dat...
This paper provides a new approach for cross-evaluation in DEA. An examination of the link between c...
A new model is introduced in the process of evaluating efficiency value of decision making units (DM...
L'évaluation croisée d'efficacité basée sur la data envelopment analysis (DEA) a été largement appli...
AbstractData Envelopment Analysis (DEA) is a mathematical model that evaluates the relative efficien...
A fundamental weakness of the Data Envelopment Analysis (DEA) is its weak discrimination in cases wh...
summary:Data envelopment analysis (DEA) is a methodology for measuring best relative efficiencies of...
Data envelopment analysis (DEA) is a nonparametric method for evaluating the relative efficiency of ...
Data envelopment analysis (DEA) has been extended to cross-efficiency to provide better discriminati...
Abstract The usual models in DEA (Data Envelopment Analysis) employ a postulate of continuity to obt...
In Data Envelopment Analysis (DEA), a variety of approaches have been used in the context of single-...
Cross efficiency is a method with the idea of peer evaluation instead of self-evaluation, and is use...
The purpose of the current paper is to propose a new model for the secondary goal in DEA by introduc...
In this paper we examine a neglected aspect of Data Envelopment Analysis: cross-efficiency. We devel...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
The cross-efficiency evaluation (CEE) method, which was developed as a contribution to classical Dat...
This paper provides a new approach for cross-evaluation in DEA. An examination of the link between c...
A new model is introduced in the process of evaluating efficiency value of decision making units (DM...
L'évaluation croisée d'efficacité basée sur la data envelopment analysis (DEA) a été largement appli...
AbstractData Envelopment Analysis (DEA) is a mathematical model that evaluates the relative efficien...
A fundamental weakness of the Data Envelopment Analysis (DEA) is its weak discrimination in cases wh...
summary:Data envelopment analysis (DEA) is a methodology for measuring best relative efficiencies of...
Data envelopment analysis (DEA) is a nonparametric method for evaluating the relative efficiency of ...
Data envelopment analysis (DEA) has been extended to cross-efficiency to provide better discriminati...
Abstract The usual models in DEA (Data Envelopment Analysis) employ a postulate of continuity to obt...
In Data Envelopment Analysis (DEA), a variety of approaches have been used in the context of single-...