data envelopment analysis (dea) has been applied in many studies in the banking industry but deficiency of empirical studies in iranian banking sector that incorporate time factor into the efficiency, have still remained. previous studies measured the efficiency of bank branches in a single period within cross-sectional data. they did not consider the effect of interconnecting activities (links...

This paper deals with the problem of efficiency assessment using Data Envelopment Analysis (DEA) when input and output data are given as fuzzy sets. In particular, a extension measure inefficiency proportions, well-known slacks-based additive measure, is considered. The proposed approach also provides targets. Computational experiences comparison other DEA approaches reported.

Recently, in Data Envelopment Analysis (DEA) methodology, there are two type of efficiency measurement; radial and non-radial measure represented by the CharnesCooper-Rhodes (CCR) and the slack-based measure (SBM) model respectively. There are two characteristics to the target in oriented CCR model; the input minimization (output maximization) plus any further reduction (expansion) indicated by...

Data envelopment analysis (DEA) is a linear programming based non-parametric technique for evaluating the relative efficiency of homogeneous decision making units (DMUs) on the basis of multiple inputs and multiple outputs. There exist radial and non-radial models in DEA. Radial models only deal with proportional changes of inputs/outputs and neglect the input/output slacks. On the other hand, ...

Abstract: In DEA, there are typically two schemes for measuring efficiency of DMUs; radial and non-radial. Radial models assume proportional change of inputs/outputs and usually remaining slacks are not directly accounted for inefficiency. On the other hand, non-radial models deal with slacks of each input/output individually and independently, and integrate them into an efficiency measure, cal...

This study measures the quality-adjusted hospital efficiency and productivity index of a production unit. We propose a non-radial output-oriented directional distance function approach to analyze Taiwan’s hospital productivity, which embeds the quality of care and environment variables simultaneously. There are two major advantages of this model. First, it considers all the radial and nonradial...

This paper introduces a new methodology ensuring units invariant slack selection in radial DEA models and incorporating the slacks into an overall efficiency score. The CCR and BCC models are units invariant in their radial component, but not in their slack component, thus changing the units of measurement of one or more variables can change the models’ solution. The proposed Full Proportional ...