The article introduces a method for simplifying complex decision tables by identifying important attributes. The researchers use a model called three-way decisions to analyze relationships between different regions and attributes. They create matrices to calculate the significance of attributes and develop an algorithm to find the most important ones. By comparing their method to existing approaches, they show that their technique is effective and offers advantages in reducing complexity.