Articles liés à Accuracy Improvements in Linguistic Fuzzy Modeling
Synopsis
Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system.
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Accuracy Improvements in Linguistic Fuzzy Modeling (Studies in Fuzziness and Soft Computing, 129)
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Springer, 2003
ISBN 10 : 3540029338
ISBN 13 : 9783540029335
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Etat : Fine. *Price HAS BEEN REDUCED by 10% until Tuesday, Sept. 8 (holiday sale item)* 397 pp., hardcover, small bumps to the bottom edge of the front cover, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Photos available upon request. N° de réf. du vendeur ZB1315694
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Accuracy Improvements in Linguistic Fuzzy Modeling (Studies in Fuzziness and Soft Computing, 129)
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Accuracy Improvements in Linguistic Fuzzy Modeling
Edité par
Springer Berlin Heidelberg Jun 2003, 2003
ISBN 10 : 3540029338
ISBN 13 : 9783540029335
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system. In this framework, one of the most important areas is linguistic fuzzy modeling, where the legibility of the obtained model is the main objective. This task is usually developed by means of linguistic (Mamdani) fuzzy rule-based systems. An active research area is oriented towards the use of new techniques and structures to extend the classical, rigid linguistic fuzzy modeling with the main aim of increasing its precision degree. Traditionally, this accuracy improvement has been carried out without considering the corresponding interpretability loss. Currently, new trends have been proposed trying to preserve the linguistic fuzzy model description power during the optimization process. Written by leading experts in the field, this volume collects some representative researcher that pursue this approach. 400 pp. Englisch. N° de réf. du vendeur 9783540029335
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Accuracy Improvements in Linguistic Fuzzy Modeling
Edité par
Springer Berlin Heidelberg, 2003
ISBN 10 : 3540029338
ISBN 13 : 9783540029335
Neuf
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Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focused on linguistic fuzzy rule-based modelingReader will acquire a deep knowledge on practical topics such as linguistic system identification with fuzzy systems and accuracyState of the art on the trade-off betwen interpretability and pr. N° de réf. du vendeur 4877981
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Accuracy Improvements in Linguistic Fuzzy Modeling
Edité par
Springer-Verlag GmbH, 2003
ISBN 10 : 3540029338
ISBN 13 : 9783540029335
Neuf
Couverture rigide
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Buch. Etat : Neu. Accuracy Improvements in Linguistic Fuzzy Modeling | Jorge Casillas (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2003 | Springer-Verlag GmbH | EAN 9783540029335 | Verantwortliche Person für die EU: Springer Heidelberg, Tiergartenstr. 17, 69121 Heidelberg, buchhandel-buch[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 102538727
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Accuracy Improvements in Linguistic Fuzzy Modeling
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jun 2003, 2003
ISBN 10 : 3540029338
ISBN 13 : 9783540029335
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system. In this framework, one of the most important areas is linguistic fuzzy modeling, where the legibility of the obtained model is the main objective. This task is usually developed by means of linguistic (Mamdani) fuzzy rule-based systems. An active research area is oriented towards the use of new techniques and structures to extend the classical, rigid linguistic fuzzy modeling with the main aim of increasing its precision degree. Traditionally, this accuracy improvement has been carried out without considering the corresponding interpretability loss. Currently, new trends have been proposed trying to preserve the linguistic fuzzy model description power during the optimization process. Written by leading experts in the field, this volume collects some representative researcher that pursue this approach.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch. N° de réf. du vendeur 9783540029335
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Accuracy Improvements in Linguistic Fuzzy Modeling
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2003
ISBN 10 : 3540029338
ISBN 13 : 9783540029335
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system. In this framework, one of the most important areas is linguistic fuzzy modeling, where the legibility of the obtained model is the main objective. This task is usually developed by means of linguistic (Mamdani) fuzzy rule-based systems. An active research area is oriented towards the use of new techniques and structures to extend the classical, rigid linguistic fuzzy modeling with the main aim of increasing its precision degree. Traditionally, this accuracy improvement has been carried out without considering the corresponding interpretability loss. Currently, new trends have been proposed trying to preserve the linguistic fuzzy model description power during the optimization process. Written by leading experts in the field, this volume collects some representative researcher that pursue this approach. N° de réf. du vendeur 9783540029335
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