Knowledge Reduction Based on Binary Discernibility Matrix in Variable Precision Rough Set

Abstract

Attributes reduction is one of the most important subjects of knowledge discovery in information systems. As an approach of attributes reduction, binary discernibility matrices have many interesting properties. Due to the disadvantage of binary discernibility matrices in dealing with variable precision rough set (VPRS), this paper presents an approach to… (More)

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