The article discusses a new method called dynamic reducts for categorizing unknown objects more accurately. Instead of using the traditional Rough Set method, dynamic reducts focus on attributes that appear most frequently in random samples of data. This approach makes the categorization process more stable and reliable, especially when dealing with disorderly and irregular data.