The article discusses a method to evaluate the efficiency of organizations with two-stage structures using imprecise data. The researchers developed a way to analyze these organizations when some inputs and outputs are not precisely known, using a mix of interval, ordinal, and exact data. This approach helps in accurately assessing the performance of Decision Making Units in real-world applications where data may not be perfectly precise.