Non-discretionary imprecise data in efficiency measurement

This paper introduces discretionary imprecise data in data envelopment analysis (dea) and discusses the efficiency evaluation of decision making units (dmus) with non-discretionary imprecise data. then, suggests a method for evaluation the efficiency of dmus with non-discretionary imprecise data. when some inputs and outputs are imprecise and non-discretionary, the dea model becomes non-linear programming problem. by a theorem, we use the translation of imprecise data into exact data and then use the standard linear dea model for evaluating dmus with non-discretionary and imprecise data, which is the generalized form of envelopment form in input oriented of ccr model. to illustrate the proposed method, a numerical example with non-discretionary imprecise data is solved.