A Variable Precision Covering-Based Rough Set Model Based on Functions


Classical rough set theory is a technique of granular computing for handling the uncertainty, vagueness, and granularity in information systems. Covering-based rough sets are proposed to generalize this theory for dealing with covering data. By introducing a concept of misclassification rate functions, an extended variable precision covering-based rough set… (More)
DOI: 10.1155/2014/210129


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