Data envelopment analysis (DEA) is a method for estimating efficiency of decision making units (DMU).The method done by means of weighted output to input ratio with the weights being optimal virtual prices of such activities for all units. Cross efficiency evaluation has long been proposed as an alternative method for ranking DMUs. The major problem that reduced the usefulness of cross efficien...

Data envelopment analysis (DEA) is widely used in various practical problems as a general framework for efficiency-evaluation by containing the input-output data. With increasingly complex factors practice, portraying uncertainty necessary ensuring reasonableness of results. As probabilistic linguistic term set (PLTS) powerful tool depicting uncertain information comprehensively, we aim to prop...

Cross-efficiency evaluation in data envelopment analysis (DEA) has been developed under the assumption of constant returns to scale (CRS), and no valid attempts have been made to apply the cross-efficiency concept to the variable returns to scale (VRS) condition. This is due to the fact that negative VRS cross-efficiency arises for some decision-making units (DMUs). Since there exist many insta...

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...