Multiple Fuzzy Classification Systems

Multiple Fuzzy Classification Systems

Fuzzy classiﬁers are important tools in exploratory data analysis, which is a vital set of methods used in various engineering, scientiﬁc and business applications. Fuzzy classiﬁers use fuzzy rules and do not require assumptions common to statistical classiﬁcation. Rough set theory is useful when da...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Scherer, Rafał (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Σειρά:	Studies in Fuzziness and Soft Computing, 288
Θέματα:	Engineering. Computer simulation. Pattern recognition. Computational intelligence. Computational Intelligence. Pattern Recognition. Simulation and Modeling.
Διαθέσιμο Online:	Full Text via HEAL-Link

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