Ranking of DMUs on Interval Data by Imposing a Minimum Weight Restriction in DEA

In this paper we present a method for ranking decision making units dmus with intervaldata in data envelopment analysis that is different from the other methods in this methodwe use a new pair of interval dea models that are constructed on the basis of intervalarithmetic which differ from the existing dea models that work with interval data in factit is a linear ccr model without a need for extra variable alternations and uses a fixed and unified production frontier (i.e.the same constraint set)to measure the eciencies of decision making units (dmus) with interval input and output data this methodologyexerts an appropriate minimum weight restriction on all input and output weights whichis called maxmin weighth new linear programming (lp) model constructs proportionwith each ecient unit for determining maximin weighth choosing a maxmin weight allecient units put in order as fully or partially one numerical example is inspected usingthe proposed ranking methodology to illustrate its ability in discriminating between deaecient unit with interval data.