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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Rotshtein, Alexander P. (Autor), Rakytyanska, Hanna B. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Studies in Fuzziness and Soft Computing, 275
Temas:
Acceso en línea:Texto Completo