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, f...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Buckley, James J. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Σειρά:Studies in Fuzziness and Soft Computing, 171
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Simulating Fuzzy Systems  |h [electronic resource] /  |c by James J. Buckley. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2005. 
300 |a XII, 208 p.  |b online resource. 
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490 1 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 171 
505 0 |a 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. 
520 |a 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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650 0 |a Artificial intelligence. 
650 0 |a Applied mathematics. 
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650 2 4 |a Theory of Computation. 
650 2 4 |a Appl.Mathematics/Computational Methods of Engineering. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Computational Intelligence. 
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776 0 8 |i Printed edition:  |z 9783540241164 
830 0 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 171 
856 4 0 |u http://dx.doi.org/10.1007/b100371  |z Full Text via HEAL-Link 
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950 |a Engineering (Springer-11647)