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. © Springer-Verlag 2013.
CITATION STYLE
Lazo-Cortés, M. S., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., & Sánchez-Díaz, G. (2013). Easy categorization of attributes in decision tables based on basic binary discernibility matrix. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8258 LNCS, pp. 302–310). https://doi.org/10.1007/978-3-642-41822-8_38
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