Buch, Englisch, 208 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 347 g
Buch, Englisch, 208 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 347 g
Reihe: Studies in Fuzziness and Soft Computing
ISBN: 978-3-642-42534-9
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
Weitere Infos & Material
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.
