New method ranks decision makers more accurately, improving efficiency evaluations.
The article introduces new methods to rank decision making units in Data Envelopment Analysis. These methods aim to address the issue of lack of discrimination in existing methods by using cross-efficiency based heuristics. The researchers suggest a framework to evaluate the performance of these new methods and compare them to other ranking techniques. The results show that the proposed heuristics are effective in ranking efficient and inefficient units without the need for complex mathematical models, making them a reliable alternative to existing methods.
