Compact Belief Rule Base Learning for Classification with Evidential Clustering †
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DOI: 10.3390/e21050443
Abstract: The belief rule-based classification system (BRBCS) is a promising technique for addressing different types of uncertainty in complex classification problems, by introducing the belief function theory into the classical fuzzy rule-based classification system. However, in… read more here.
Keywords: classification; rule base; compact belief; belief rule ... See more keywords