An Introduction to Computing with Fuzzy Sets / Intelligent Systems Reference Library Bd.190 (PDF)
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...
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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.
- Autor: Witold Pedrycz
- 2020, 1st ed. 2021, 283 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030528006
- ISBN-13: 9783030528003
- Erscheinungsdatum: 11.08.2020
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- Dateiformat: PDF
- Größe: 9.16 MB
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