Granular Computing in Decision Approximation: An Application of Rough Mereology
122,85 €
This book presents a study in knowledge discovery in data with knowledge understood as a set of relations among objects and their properties. A striking feature of granular classifiers obtained by this approach is that preserving the accuracy of them on original data, they reduce substantially the size of the granulated data set as well as the set of granular decision rules.
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