Simulating Fuzzy Systems
By: Buckley, James J [author.].
Contributor(s): SpringerLink (Online service).
Material type:
BookSeries: Studies in Fuzziness and Soft Computing: 171Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.Description: XII, 208 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540323754.Subject(s): Computer science | Computers | Artificial intelligence | Applied mathematics | Engineering mathematics | Computational intelligence | Computer Science | Theory of Computation | Appl.Mathematics/Computational Methods of Engineering | Artificial Intelligence (incl. Robotics) | Applications of Mathematics | Computational IntelligenceDDC classification: 004.0151 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK7646 |
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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