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Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of decision making units (DMUs) on the basis of multiple inputs and outputs. The context-dependent DEA...
Recently, in Data Envelopment Analysis (DEA) methodology, there are two type of efficiency measurement; radial and non-radial measure represented by the Charnes-Cooper-Rhodes (CCR) and the slack-based...
The performance measurement of companies has been the subject of numerous surveys during the last few years. In the present study, the Data Envelopment Analysis (DEA) technique as well as the financia...
data envelopment analysis is a linear programming methodologie that has been widely used to evaluate the performance of a set of decision-making units. It requires crisp input and output data. However...
Ordinary DEA models, such as the CCR and BCC models, are not able to measure the efficiency of multi-component decision making units. In management science, there is a need for methods that are capabl...
In the last decade, social capital has been changed to one of the fundamental subjects, which is considerable in the world’s academic and investigative coteries. Social capital is the collection of no...
Extended Data Envelopment Analysis/Discriminant Analysis (DEA/DA), is a widely applied approach for firstly the classification of observations into groups and secondly the prediction of the membership...
To represent an optimization problem as a linear programming (LP), there are several assumptions needed. Among them, there is the Deterministic” assumption that requires all the coefficients of the L...
Data envelopment analysis (DEA) defines relative efficiency of decision making units (DMUs), using mathmatical programming. In evaluating relative efficiency, usually more than one unit may be efficie...
Performance evaluation of units under supervision in any organization is one of the most important topics of concern in management.Computing relative efficiency of related companies of an organization...

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