The article explores a method to simplify data analysis by reducing the number of attributes considered. By focusing on the most important attributes in decision-making, the algorithm efficiently narrows down the data processing scope. Starting with a core set of attributes, it adds the most crucial ones to minimize the reduction of properties. This approach saves time and simplifies the calculation process compared to traditional methods. The algorithm's effectiveness was confirmed through a detailed example, demonstrating its correctness and feasibility.