This paper attempts to provide a systematic approach to the DEA model building. To this end, we try to identify some essential aspects of DEA modelling. Three key building blocks in a DEA model are identified: they are preference order, production possibility set and performance measure. It is shown that the preferences and performance measurements used in the standard DEA models are only particular examples in this framework. It is also illustrated in this work that this methodology is useful in building new DEA models to handle nonstandard applications such as those involve non-Pareto preferences or undesirable inputs-outputs
Abstract Data envelopment analysis (DEA) is one of the most efficient tools for efficiency measureme...
Data envelopment analysis (DEA) is a non-parametric data-driven approach for evaluating the efficien...
Discretionary models of data envelopment analysis (DEA) assume that all inputs and outputs are discr...
We reconsider the motivation of Data Envelopment Analysis (DEA), the non-parametric technique that i...
Analyzing the efficiency of actions, productions, or organizational units is a fundamental problem o...
We reconsider the motivation of Data Envelopment Analysis (DEA), the non-parametrictechnique that is...
Data Envelopment Analysis is a procedure for evaluation of the relative efficiency of units in a pro...
We reconsider the motivation of Data Envelopment Analysis (DEA), the non-parametric technique that i...
This contribution introduces Data Envelopment Analysis (DEA), a performance measurement technique. D...
Data envelopment analysis (DEA) is a data based mathematical approach, which handles large numbers o...
Data envelopment analysis (DEA) evaluates the efficiency of the transformation of a decision-making ...
Data envelopment analysis (DEA) is a linear programming based technique for measuring the relative p...
In this paper we offer a simple exposition of the neoclassical production the-oretic foundations of ...
Data Envelopment Analysis (DEA) is one of the well-known methods for calculating efficiency, determi...
Abstract. Data Envelopment Analysis (DEA) is a relatively new “data oriented ” non-parametric approa...
Abstract Data envelopment analysis (DEA) is one of the most efficient tools for efficiency measureme...
Data envelopment analysis (DEA) is a non-parametric data-driven approach for evaluating the efficien...
Discretionary models of data envelopment analysis (DEA) assume that all inputs and outputs are discr...
We reconsider the motivation of Data Envelopment Analysis (DEA), the non-parametric technique that i...
Analyzing the efficiency of actions, productions, or organizational units is a fundamental problem o...
We reconsider the motivation of Data Envelopment Analysis (DEA), the non-parametrictechnique that is...
Data Envelopment Analysis is a procedure for evaluation of the relative efficiency of units in a pro...
We reconsider the motivation of Data Envelopment Analysis (DEA), the non-parametric technique that i...
This contribution introduces Data Envelopment Analysis (DEA), a performance measurement technique. D...
Data envelopment analysis (DEA) is a data based mathematical approach, which handles large numbers o...
Data envelopment analysis (DEA) evaluates the efficiency of the transformation of a decision-making ...
Data envelopment analysis (DEA) is a linear programming based technique for measuring the relative p...
In this paper we offer a simple exposition of the neoclassical production the-oretic foundations of ...
Data Envelopment Analysis (DEA) is one of the well-known methods for calculating efficiency, determi...
Abstract. Data Envelopment Analysis (DEA) is a relatively new “data oriented ” non-parametric approa...
Abstract Data envelopment analysis (DEA) is one of the most efficient tools for efficiency measureme...
Data envelopment analysis (DEA) is a non-parametric data-driven approach for evaluating the efficien...
Discretionary models of data envelopment analysis (DEA) assume that all inputs and outputs are discr...