Ranking of different common set of weights models using a voting model and its application in determining efficient DMUs

摘要

In most models of data envelopment analysis (DEA), the best performers have the efficiency score of unity. Usually there are plural decision making units (DMUs) which have this 'efficient status' and DEA cannot provide more information about these efficient DMUs. Discrimination between these efficient DMUs is an interesting research subject. In effect, most conventional methods to rank efficient DMUs are based on the concept of common weights analysis (CWA). In this paper, after reviewing the existing common weights models, we propose a new methodology to rank the common weights models for the performance indices of only DEA efficient DMUs based on a voting model. Also, an approach for combining the results obtained from the common weights models is presented. Then, we give an example to illustrate our approach, and finally the new method is employed to rank efficient units in a real world problem.