DEA cross efficiency evaluation in presence of linear and nonlinear data

Secondary Goal in DEA Cross Efficiency Evaluation

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...

Cross-efficiency evaluation by the use of ideal and anti-ideal virtual DMUs’ assessment in DEA

To rank Decision Making Units (DMU) in Data Envelopment Analysis (DEA), the peer-evaluation based cross-efficiency method is generally used. Indeed, in this method, each DMU is evaluated from the view point of other DMUs. In this article, a method is suggested which instead examines each DMU just by using the weights resulting from the evaluation of ideal and anti-ideal virtual DMUs and thus ex...

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

Efficiency Evaluation and Ranking DMUs in the Presence of Interval Data with Stochastic Bounds

On account of the existence of uncertainty, DEA occasionally faces the situation of imprecise data, especially when a set of DMUs include missing data, ordinal data, interval data, stochastic data, or fuzzy data. Therefore, how to evaluate the efficiency of a set of DMUs in interval environments is a problem worth studying. In this paper, we discussed the new method for evaluation and ranking i...

DEA cross-efficiency evaluation under variable returns to scale

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...

Multi-Department Employee Performance Evaluation Based on DEA Cross Efficiency

School of Management, University of Science and Technology of China, Hefei, China. ___________________________________________________________________________ Abstract Employee performance evaluation is an important task for performance management, thus efficient employee performance evaluation method is a necessity. This paper proposes to combine Workforce Scorecard and DEA method to evaluate ...