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Attribute reduction is an important issue in classification problems. This paper proposes a novel method for categorizing attributes in a decision table based on transforming the binary discernibility matrix into a simpler one called basic binary discernibility matrix. The effectiveness of the method is theoretically demonstrated. Experiments show application results of the proposed method.

Easy Categorization of Attributes in Decision Tables Based on Basic Binary Discernibility Matrix