A Method for Evaluating the Performance of Decision Making Units with Imprecise Data Using Common Set of Weights

In this paper, we propose a new method to evaluate units with imprecise but bounded data. Our main objective is a fair and reasonable ranking of units based on their performance where performance of all units matter. For meeting our objective, we have applied common set of weights methodology in DEA with interval data. The ranking criterion is simple and sensible for a reasonable assessment of performance of units under same condition by Decision Maker. Here, only one linear model is solved to rank all of units which is considerably less than the other methods. At the end, two numerical examples are analyzed to illustrate the results.