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Simulating Fuzzy Systems [electronic resource] / by James Buckley.

Por: Tipo de material: TextoTextoSeries Studies in Fuzziness and Soft Computing ; 171 | Studies in Fuzziness and Soft Computing ; 171Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005Descripción: XII, 208 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783540323754
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 519 23
Clasificación LoC:
  • TA329-348
  • TA640-643
Recursos en línea:
Contenidos:
Springer eBooksResumen: 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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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.

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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