Explainable Uncertain Rule-Based Fuzzy Systems (Paperback)

Language: English

Published by Springer International Publishing AG, Cham, 2025

3031353803 / 9783031353802

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Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Title
Explainable Uncertain Rule-Based Fuzzy Systems (Paperback)
Author
Jerry M. Mendel
Publisher
Springer International Publishing AG, Cham
Publication year
2025
Condition
new
Binding
Paperback
Language
English
ISBN 10
3031353803
ISBN 13
9783031353802
Edition
3rd Edition

Grand Eagle Retail

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