The article introduces a method to acquire knowledge from imperfect information systems, where data may be missing or imprecise. The method focuses on reducing attributes based on what can be distinguished in the information system. By applying this method, the researchers were able to identify the essential information in imperfect data tables. This approach can help in understanding and extracting valuable knowledge from imperfect information systems.