Synopsis
Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy.
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Interpretability Issues in Fuzzy Modeling (Studies in Fuzziness and Soft Computing, Vol. 128).
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New York, NY, U.S.A. Springer-Verlag New York, Incorporated, 2003
ISBN 10 : 354002932X
ISBN 13 : 9783540029328
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Gebunden. Etat : Sehr gut. Gebraucht - Sehr gut Zustand: Sehr gut, XIV, 643 p. About this book Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models. Written for researchers, academics, graduate students, industry in the field of Soft Computing. N° de réf. du vendeur 17475
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Interpretability Issues in Fuzzy Modeling
Edité par
Springer, 2003
ISBN 10 : 354002932X
ISBN 13 : 9783540029328
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Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 660 | Sprache: Englisch | Produktart: Bücher | Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models. N° de réf. du vendeur 1169748/202
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Interpretability Issues in Fuzzy Modeling
Edité par
Springer Berlin Heidelberg, 2003
ISBN 10 : 354002932X
ISBN 13 : 9783540029328
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focused on interpretability in fuzzy modelsReader will acquire a deep knowledge on practical topics such as system identification with fuzzy systems and interpretabilityState of the art on the trade-off betwen interpretability and precision. N° de réf. du vendeur 4877980
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Interpretability Issues in Fuzzy Modeling
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Springer Berlin Heidelberg Jun 2003, 2003
ISBN 10 : 354002932X
ISBN 13 : 9783540029328
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 has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models. 660 pp. Englisch. N° de réf. du vendeur 9783540029328
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Interpretability Issues in Fuzzy Modeling (Studies in Fuzziness and Soft Computing, 128)
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Interpretability Issues in Fuzzy Modeling
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Interpretability Issues in Fuzzy Modeling
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Buch. Etat : Neu. Interpretability Issues in Fuzzy Modeling | Jorge Casillas (u. a.) | Buch | Studies in Fuzziness and Soft Computing | xiv | Englisch | 2003 | Springer | EAN 9783540029328 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 102538887
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Interpretability Issues in Fuzzy Modeling
Edité par
Springer, Springer Jun 2003, 2003
ISBN 10 : 354002932X
ISBN 13 : 9783540029328
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 has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 660 pp. Englisch. N° de réf. du vendeur 9783540029328
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Interpretability Issues in Fuzzy Modeling
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2003
ISBN 10 : 354002932X
ISBN 13 : 9783540029328
Neuf
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models. N° de réf. du vendeur 9783540029328
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Interpretability Issues in Fuzzy Modeling
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Etat : New. pp. 664. N° de réf. du vendeur 26322221
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