Explainable Uncertain Rule-Based Fuzzy Systems - Hardcover
- PublisherSpringer
- Publication date2024
- ISBN 10 3031353773
- ISBN 13 9783031353772
- BindingHardcover
- Edition number3
- Number of pages603
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Explainable Uncertain Rule-Based Fuzzy Systems
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Springer International Publishing Jan 2024
(2024)
ISBN 10: 3031353773
ISBN 13: 9783031353772
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Book Description Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The third edition of this textbook presents a further updated approach to fuzzy sets and systems that can model uncertainty - i.e., 'type-2' fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications, from time-series forecasting to knowledge mining to classification to control and to explainable AI (XAI). This latest edition again begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty, leading to type-2 fuzzy sets and systems. New material is included about how to obtain fuzzy set word models that are needed for XAI, similarity of fuzzy sets, a quantitative methodology that lets one explain in a simple way why the different kinds of fuzzy systems have the potential for performance improvements over each other, and new parameterizations of membership functions that have the potential for achieving even greater performance for all kinds of fuzzy systems. For hands-on experience, the book provides information on accessing MATLAB, Java, and Python software to complement the content. The book features a full suite of classroom material. 604 pp. Englisch. Seller Inventory # 9783031353772
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Uncertain Rule-Based Fuzzy Systems
Published by
Springer International Publishing
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ISBN 10: 3031353773
ISBN 13: 9783031353772
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Hardcover
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Book Description Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an updated approach to fuzzy sets and systems that can model uncertaintyIncludes a new chapter on recent advances in type-1 and type-2 rule based fuzzy systemsFeatures complete classroom material including end-of-chapter exercises,. Seller Inventory # 873621314
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Explainable Uncertain Rule-Based Fuzzy Systems
Published by
Springer International Publishing
(2024)
ISBN 10: 3031353773
ISBN 13: 9783031353772
New
Hardcover
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Book Description Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The third edition of this textbook presents a further updated approach to fuzzy sets and systems that can model uncertainty - i.e., 'type-2' fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications, from time-series forecasting to knowledge mining to classification to control and to explainable AI (XAI). This latest edition again begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty, leading to type-2 fuzzy sets and systems. New material is included about how to obtain fuzzy set word models that are needed for XAI, similarity of fuzzy sets, a quantitative methodology that lets one explain in a simple way why the different kinds of fuzzy systems have the potential for performance improvements over each other, and new parameterizations of membership functions that have the potential for achieving even greater performance for all kinds of fuzzy systems. For hands-on experience, the book provides information on accessing MATLAB, Java, and Python software to complement the content. The book features a full suite of classroom material. Seller Inventory # 9783031353772
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Book Description Condition: New. Buy with confidence! Book is in new, never-used condition. Seller Inventory # bk3031353773xvz189zvxnew
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