The problem of unrealistic weight distribution for DEA occurs when some DMUs are rated as efficient owing to input and output weights having extreme or zero values [4, 5, 6, 12, 17]. Moreover, having multiple optimal solutions to weights affects to a great extent the consistency of operations related to weights cross efficiency method is the most frequently studied topic in DEA literature. The problem of unrealistic weight distribution is dealt with using techniques of weight restriction. Besides, the case having multiple solutions to weights has an effect on the other two problems (unrealistic weights distribution and the weak discrimination power). In this way, the issues are interdependent. The problem of having multiple solutions to optimal weights occurs specifically in the cross efficiency method wherein the efficiencies of DMUs are evaluated by means of optimal weights of any given DMU.