Thus far, the DEA method has been widely applied in various areas and is being developed further through interaction with various techniques. In fact, DEA seems to be the most popular approximation that has gained rapid development and widespread applications, particularly in the areas of operations research and management science. However, the improvements made to the DEA technique have resulted in several new problems [1, 15]. These problems are interdependent and have been known for a long time, for example, the issue of unrealistic weights distribution, the weak discrimination power, and having multiple optimal solutions to weights for efficient DMUs.