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.

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.

Presents a concise introduction to fuzzy estimation, fuzzy probabilities, fuzzy systems theory and fuzzy computation Includes a wide selection of simulation applications showing the varieties of fuzzy systems Includes supplementary material: sn.pub/extras

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