Interpretability Issues in Fuzzy Modeling
Casillas, J. (EDT); Cordon, O. (EDT); Herrera, F. (EDT); Magdalena, Luis (EDT); Cordon, O.; Herrera, F.; Magdalena, L.
ISBN 10: 354002932X ISBN 13: 9783540029328
Edité par Springer, 2003
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A propos de cet article
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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.
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Titre : Interpretability Issues in Fuzzy Modeling
Éditeur : Springer
Date d'édition : 2003
Reliure : Couverture rigide
Etat : New
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Interpretability Issues in Fuzzy Modeling
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Interpretability Issues in Fuzzy Modeling
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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
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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
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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 (Studies in Fuzziness and Soft Computing, 128)
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Interpretability Issues in Fuzzy Modeling
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Buch. Etat : Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 660 pp. Englisch. N° de réf. du vendeur 9783540029328
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Interpretability Issues in Fuzzy Modeling
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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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Springer Berlin Heidelberg Jun 2003, 2003
ISBN 10 : 354002932X
ISBN 13 : 9783540029328
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Interpretability Issues in Fuzzy Modeling (Studies in Fuzziness and Soft Computing, 128)
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