Simulating Fuzzy Systems

Simulating Fuzzy Systems demonstrates how many systems naturally become fuzzy systems and shows how regular (crisp) simulation can be used to estimate the alpha-cuts of the fuzzy numbers used to analyze the behavior of the fuzzy system. This monograph presents a concise introduction to fuzzy sets, f...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Buckley, James J. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Studies in Fuzziness and Soft Computing, 171
Temas:
Computer science.
Engineering mathematics.
Engineering > Data processing.
Artificial intelligence.
Mathematics.
Computational intelligence.
Theory of Computation.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Applications of Mathematics.
Computational Intelligence.
Acceso en línea:Texto Completo
Descripción
Sumario:Simulating Fuzzy Systems demonstrates how many systems naturally become fuzzy systems and shows how regular (crisp) simulation can be used to estimate the alpha-cuts of the fuzzy numbers used to analyze the behavior of the fuzzy system. This monograph presents a concise introduction to fuzzy sets, fuzzy logic, fuzzy estimation, fuzzy probabilities, fuzzy systems theory and fuzzy computation. It also presents a wide selection of simulation applications ranging from emergency rooms to machine shops to project scheduling showing the varieties of fuzzy systems.
Descripción Física:XII, 208 p. online resource.
ISBN:9783540323754
ISSN:1860-0808 ;

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