A procedure for ranking efficient units in data envelopment analysis
Management Science
A closer look at the use of data envelopment analysis for technology selection
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Journal of Computational and Applied Mathematics
Bargaining game model in the evaluation of decision making units
Expert Systems with Applications: An International Journal
Determination of cross-efficiency under the principle of rank priority in cross-evaluation
Expert Systems with Applications: An International Journal
A neutral DEA model for cross-efficiency evaluation and its extension
Expert Systems with Applications: An International Journal
Cross efficiency evaluation method based on weight-balanced data envelopment analysis model
Computers and Industrial Engineering
Hi-index | 12.05 |
Cross-efficiency evaluation is an effective approach to ranking decision making units (DMUs) that utilize multiple inputs to produce multiple outputs. Its models can usually be developed in a way that is either aggressive or benevolent to other DMUs, depending upon the decision maker (DM)'s subjective preference to the two extreme cases. This paper proposes several new data envelopment analysis (DEA) models for cross-efficiency evaluation by introducing a virtual ideal DMU (IDMU) and a virtual anti-ideal DMU (ADMU). The new DEA models determine input and output weights from the point of view of distance from IDMU or ADMU without the need to be aggressive or benevolent to any DMUs. As a result, the cross-efficiencies measured by these new DEA models are neutral and more logical. Numerical examples are provided to illustrate the potential applications of these new DEA models and their effectiveness in ranking DMUs.