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

By: Buckley, James [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextLanguage: English Series: Studies in Fuzziness and Soft Computing: 171Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005Description: XII, 212 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540323754Subject(s): Engineering | Artificial intelligence | Mathematics | Engineering mathematics | Engineering | Appl.Mathematics/Computational Methods of Engineering | Artificial Intelligence (incl. Robotics) | Applications of Mathematics | Numerical and Computational Methods in EngineeringAdditional physical formats: Printed edition:: No titleDDC classification: 519 LOC classification: TA329-348TA640-643Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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