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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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Buckley, James J. (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Édition:1st ed. 2005.
Collection:Studies in Fuzziness and Soft Computing, 171
Sujets:
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.
Accès en ligne:Texto Completo
Table des matières:
  • 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.

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