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Simulating Continuous Fuzzy Systems

This monograph studies continuous fuzzy dynamical systems using crisp continuous simulation. A crisp continuous dynamical system is presented whose evolution depends on a system of ordinary differential equations (ODEs). The system of ODEs contains parameters many of which have uncertain values. Usu...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Buckley, James J. (Autor), Jowers, Leonard J. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Studies in Fuzziness and Soft Computing, 188
Temas:
Acceso en línea:Texto Completo

MARC

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100 1 |a Buckley, James J.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Simulating Continuous Fuzzy Systems  |h [electronic resource] /  |c by James J. Buckley, Leonard J. Jowers. 
250 |a 1st ed. 2006. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2006. 
300 |a XII, 202 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Studies in Fuzziness and Soft Computing,  |x 1860-0808 ;  |v 188 
505 0 |a Fuzzy Sets -- Fuzzy Estimation -- Fuzzy Systems -- Continuous Simulation Software -- Simulation Optimization -- Predator/Prey Models -- An Arm's Race Model -- Bungee Jumping -- Spread of Infectious Disease Model -- Planetary Motion -- Human Cannon Ball -- Electrical Circuits -- Hawks, Doves and Law-Abiders -- Suspension System -- Chemical Reactions -- The AIDS Epidemic -- The Machine/Service Queuing Model -- A Self-Service Queuing Model -- Symbiosis -- Supply and Demand -- Drug Concentrations -- Three Species Competition -- Flying a Glider -- The National Economy -- Sex Structured Population Models -- Summary and Future Research -- Matlab/Simulink Commands for Graphs. 
520 |a This monograph studies continuous fuzzy dynamical systems using crisp continuous simulation. A crisp continuous dynamical system is presented whose evolution depends on a system of ordinary differential equations (ODEs). The system of ODEs contains parameters many of which have uncertain values. Usually point estimators for these uncertain parameters are used, but the resulting system will not display any uncertainty associated with these estimators. Instead fuzzy number estimators are employed, constructed from expert opinion or from data, for the uncertain parameters. Fuzzy number estimators produce a system of fuzzy ODEs to solve whose solution will be fuzzy trajectories for the variables. The authors use crisp continuous simulation to estimate the trajectories of the support and core of these fuzzy numbers in a variety of twenty applications of fuzzy dynamical systems. The applications range from Bungee jumping to the AIDS epidemic to dynamical models in economics. This book is the companion text to "Simulating Fuzzy Systems" (Springer 2005) which investigated discrete fuzzy systems through crisp discrete simulation. 
650 0 |a Engineering mathematics. 
650 0 |a Engineering-Data processing. 
650 0 |a System theory. 
650 0 |a Control theory. 
650 0 |a Computer simulation. 
650 0 |a Artificial intelligence. 
650 0 |a Mathematics. 
650 0 |a Computational intelligence. 
650 1 4 |a Mathematical and Computational Engineering Applications. 
650 2 4 |a Systems Theory, Control . 
650 2 4 |a Computer Modelling. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Computational Intelligence. 
700 1 |a Jowers, Leonard J.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783642066689 
776 0 8 |i Printed edition:  |z 9783540814689 
776 0 8 |i Printed edition:  |z 9783540284550 
830 0 |a Studies in Fuzziness and Soft Computing,  |x 1860-0808 ;  |v 188 
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950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)