optimal system design in the presence of interval data

This paper extends the optimal system design dea models to include data uncertainty. where some uncertain input and output data are available, the classical osd dea models cannot be used, because input and output data appear in the form of ranges. when the data are imprecise in the form of ranges, the allocation models calculated from the data should be uncertain but we will present new osd dea models that will be deterministic models. it assumes that a collection of decision making units (dmus) and introduces an optimal system for each dmu in terms of their profit maximization, given their total available budget. finally, a numerical example is utilized to illustrate the proposed model.