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Uncertain Rule Based Fuzzy Systems by Mendel Jerry (43 results)
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Uncertain Rule-Based Fuzzy Logic Systems : Introduction and New Directions
Published by Pearson Education, Limited, 2000
ISBN 10: 0130409693 ISBN 13: 9780130409690
Language: English
First Edition
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Add to basketHardcover. Condition: Brand New. 2nd edition. 684 pages. 9.25x6.25x1.50 inches. In Stock.
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Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions
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Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Condition: New. Third Edition 2024 NO-PA16APR2015-KAP.
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Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions, 2nd Edition
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Add to basketHardcover. Condition: Brand New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-11 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Explainable Uncertain Rule-Based Fuzzy Systems
Published by Springer International Publishing, Springer Nature Switzerland, 2025
ISBN 10: 3031353803 ISBN 13: 9783031353802
Language: English
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Add to basketTaschenbuch. 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.
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Explainable Uncertain Rule-Based Fuzzy Systems
Published by Springer International Publishing, Springer Nature Switzerland Feb 2024, 2024
ISBN 10: 3031353773 ISBN 13: 9783031353772
Language: English
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Add to basketBuch. Condition: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 604 pp. Englisch.
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Uncertain Rule-Based Fuzzy Systems
Published by Springer International Publishing, Springer International Publishing Jul 2018, 2018
ISBN 10: 3319846329 ISBN 13: 9783319846323
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 110.03
Convert currencyUS$ 70.48 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -The second edition of this textbook provides a fully 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 control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems ¿ from type-1 to interval type-2 to general type-2 ¿ in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 708 pp. Englisch.
