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Sinopsis
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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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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Interpretability Issues in Fuzzy Modeling
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Springer Berlin Heidelberg, 2003
ISBN 10: 354002932X
ISBN 13: 9783540029328
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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. Condición: 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. Nº de ref. del artículo: 17475
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Interpretability Issues in Fuzzy Modeling
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Springer Verlag, Berlin, 2003
ISBN 10: 354002932X
ISBN 13: 9783540029328
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Cloth. Condición: Near Fine. 643 pp. Tightly bound. Corners not bumped. Text is Free of Markings. Nº de ref. del artículo: 009831
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Interpretability Issues in Fuzzy Modeling
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Springer Berlin Heidelberg, 2003
ISBN 10: 354002932X
ISBN 13: 9783540029328
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Condición: 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. Nº de ref. del artículo: 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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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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Buch. Condición: 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. Nº de ref. del artículo: 9783540029328
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Interpretability Issues in Fuzzy Modeling
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Springer Berlin Heidelberg, 2003
ISBN 10: 354002932X
ISBN 13: 9783540029328
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Buch. Condición: 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. Nº de ref. del artículo: 9783540029328
Cantidad disponible: 1 disponibles
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Interpretability Issues in Fuzzy Modeling
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Jun 2003, 2003
ISBN 10: 354002932X
ISBN 13: 9783540029328
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Buch. Condición: 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. Nº de ref. del artículo: 9783540029328
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Interpretability Issues in Fuzzy Modeling (Studies in Fuzziness and Soft Computing, 128)
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