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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:
Acceso en línea:Texto Completo

MARC

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490 1 |a Studies in Fuzziness and Soft Computing,  |x 1860-0808 ;  |v 171 
505 0 |a Fuzzy Sets -- Fuzzy Estimation -- Fuzzy Probability Theory -- Fuzzy Systems Theory -- Simulation -- Queuing I: One-Step Calculations -- Simulation Optimization -- Queuing II: No One-Step Calculations -- Call Center Model -- Machine Shop I -- Machine Shop II -- Emergency Room Model -- Machine Servicing Problem -- Life Insurance: New Account Model -- Inventory Control I -- Inventory Control II -- Oil Tanker Problem -- Priority Queues -- Optimizing a Production Line -- Supermarket Model -- Bank Teller Problem -- A Bus Stop -- Process Failure/Spare Parts Problem -- Preemptive Service -- Project Network Model -- Summary and Conclusions -- Simulation Programs. 
520 |a 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. 
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