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Class imbalance and missing values are two critical problems in pattern classification. Researchers have proposed a number of techniques to address each of the problems. However, no single technique can solve the two problems. Moreover, the simple combination approach cannot accurately classify the imbalanced data with missing values. This paper develops a fuzzy-based information decomposition (FID)...
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