Inducing fuzzy decision trees to solve classification and regression problems in non-deterministic domains
Most decision tree induction methods used for extracting knowledge in classification problems are unable to deal with uncertainties embedded within the data, associated with human thinking and perception. This thesis describes the development of a novel tree induction algorithm which improves the cl...
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Manchester Metropolitan University
2005
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426942 |