Fuzzy rule-based classification system using multi-population quantum evolutionary algorithm with contradictory rule reconstruction
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DOI: 10.1007/s10489-019-01478-5
Abstract: Fuzzy rule-based classification systems (FRBCSs) are appropriate tools for dealing with classification problems because of their interpretable models based on linguistic variables. Intelligent optimization techniques are widely used in the rule mining of FRBCSs due… read more here.
Keywords: multi population; fuzzy; contradictory rule; rule reconstruction ... See more keywords