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In this paper, we show how an existing fuzzy rule induction algorithm can incorporate missing values in the training procedure in a very natural way. The underlying algorithm generates rules which restrict the feature space only along a few, important attributes. This property can be used to limit the algorithm's three major steps to the reduced feature space for each training instance, which allows...
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