Fuzzy Evidence in Identification, Forecasting and Diagnosis

Fuzzy Evidence in Identification, Forecasting and Diagnosis

The purpose of this book is to present a methodology for designing and tuning fuzzy expert systems in order to identify nonlinear objects; that is, to build input-output models using expert and experimental information. The results of these identifications are used for direct and inverse fuzzy evide...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Rotshtein, Alexander P. (Συγγραφέας), Rakytyanska, Hanna B. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Σειρά:	Studies in Fuzziness and Soft Computing, 275
Θέματα:	Engineering. Computer simulation. Pattern recognition. Computational intelligence. Computational Intelligence. Simulation and Modeling. Pattern Recognition.
Διαθέσιμο Online:	Full Text via HEAL-Link

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