Overview
- Offers a well-structured introduction to Computing with Fuzzy Sets
- Includes Analysis, Design, and Applications
- Written by a leading expert in the field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 190)
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book provides concise yet thorough coverage of the fundamentals and technology of fuzzy sets. Readers will find a lucid and systematic introduction to the essential concepts of fuzzy set-based information granules, their processing and detailed algorithms. Timely topics and recent advances in fuzzy modeling and its principles, neurocomputing, fuzzy set estimation, granulation–degranulation, and fuzzy sets of higher type and order are discussed. In turn, a wealth of examples, case studies, problems and motivating arguments, spread throughout the text and linked with various areas of artificial intelligence, will help readers acquire a solid working knowledge. Given the book’s well-balanced combination of the theory and applied facets of fuzzy sets, it will appeal to a broad readership in both academe and industry. It is also ideally suited as a textbook for graduate and undergraduate students in science, engineering, and operations research.
Authors and Affiliations
Bibliographic Information
Book Title: An Introduction to Computing with Fuzzy Sets
Book Subtitle: Analysis, Design, and Applications
Authors: Witold Pedrycz
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-030-52800-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-52799-0Published: 12 August 2020
Softcover ISBN: 978-3-030-52802-7Published: 13 August 2021
eBook ISBN: 978-3-030-52800-3Published: 11 August 2020
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIV, 283
Number of Illustrations: 200 b/w illustrations, 10 illustrations in colour
Topics: Computational Intelligence, Mathematical and Computational Engineering