An Introduction to Computing with Fuzzy Sets: Analysis, Design, and Applications

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 f...

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Bibliographic Details
Main Author: Pedrycz, Witold 1953- (Author)
Format: Book
Language:English
Published: Cham Springer [2021]
Series:Intelligent Systems Reference Library Volume 190
Subjects:
Summary: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
Item Description:TOC is available in MS
Physical Description:xiv, 283 p illustrations 617 grams
ISBN:9783030527990

There is no print copy available.

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