Introducing a secondary goal for evaluating DMUs by cross efficiency in data envelopment analysis

An Alternative Secondary Goal Approach to Modify Cross Efficiency Evaluation in Data Envelopment Analysis

The cross efficiency evaluation is used to performance measurement of decision making units in data envelopment analysis concept. One of the most important shortcoming of this method is existing alternative optimal solution and therefore, the efficiency scores are not unique. We are going to summarize the pervious models proposed by researchers and suggest an alternative secondary goal approach...

Cost Efficiency Measures In Data Envelopment Analysis With Nonhomogeneous DMUs

In the conventional data envelopment analysis (DEA), it is assumed that all decision making units (DMUs) using the same input and output measures, means that DMUs are homogeneous. In some settings, however, this usual assumption of DEA might be violated. A related problem is the problem of textit{missing} textit{data} where a DMU produces a certain output or consumes a certain input but the val...

an alternative secondary goal approach to modify cross efficiency evaluation in data envelopment analysis

the cross efficiency evaluation is used to performance measurement of decision making units in data envelopment analysis concept. one of the most important shortcoming of this method is existing alternative optimal solution and therefore, the efficiency scores are not unique. we are going to summarize the pervious models proposed by researchers and suggest an alternative secondary goal approach...

Finding Outlier DMUs in Data Envelopment Analysis

Secondary Model Developed for Weight Selective in Evaluating the Efficiency of Cross-DEA with Fuzzy Data

Data Envelopment Analysis with Nonhomogeneous DMUs

Data envelopment analysis (DEA), as originally proposed, is a methodology for evaluating the relative efficiencies of a set of homogeneous decision-making units (DMUs) in the sense that each uses the same input and output measures (in varying amounts from one DMU to another). In some situations, however, the assumption of homogeneity among DMUs may not apply. As an example, consider the case wh...