UID:
almahu_9948612935902882
Umfang:
XIV, 283 p. 210 illus., 10 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2021.
ISBN:
9783030528003
Serie:
Intelligent Systems Reference Library, 190
Inhalt:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783030527990
Weitere Ausg.:
Printed edition: ISBN 9783030528010
Weitere Ausg.:
Printed edition: ISBN 9783030528027
Sprache:
Englisch
DOI:
10.1007/978-3-030-52800-3
URL:
https://doi.org/10.1007/978-3-030-52800-3
URL:
Volltext
(URL des Erstveröffentlichers)
