Rules as Attributes in Classi
نویسنده
چکیده
A method for constructing classiication (decision) systems is presented. The use of decision rules derived using rough set methods as new attributes is considered. Neural networks are applied as a tool for construction of classiier over reconstructed dataset. Possible profits of such an approach are brieey presented together with results of preliminary experiments.
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