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 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. TOC: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