The article presents algorithms for finding important patterns in data tables, helping to make decisions based on uncertain or vague information. The researchers developed methods to identify key attributes that are crucial for predicting outcomes accurately. These algorithms are proven to work correctly and are efficient, even with large amounts of data. By using these algorithms, other processes for analyzing data can be improved, especially when dealing with complex decision tables.