Readings in Fuzzy Sets for Intelligent Systems
By:Didier J. Dubois,Henri Prade,Ronald R. Yager
Published on 2014-05-12 by Morgan Kaufmann
Readings in Fuzzy Sets for Intelligent Systems is a collection of readings that explore the main facets of fuzzy sets and possibility theory and their use in intelligent systems. Basic notions in fuzzy set theory are discussed, along with fuzzy control and approximate reasoning. Uncertainty and informativeness, information processing, and membership, cognition, neural networks, and learning are also considered. Comprised of eight chapters, this book begins with a historical background on fuzzy sets and possibility theory, citing some forerunners who discussed ideas or formal definitions very close to the basic notions introduced by Lotfi Zadeh (1978). The reader is then introduced to fundamental concepts in fuzzy set theory, including symmetric summation and the setting of fuzzy logic; uncertainty and informativeness; and fuzzy control. Subsequent chapters deal with approximate reasoning; information processing; decision and management sciences; and membership, cognition, neural networks, and learning. Numerical methods for fuzzy clustering are described, and adaptive inference in fuzzy knowledge networks is analyzed. This monograph will be of interest to both students and practitioners in the fields of computer science, information science, applied mathematics, and artificial intelligence.
This Book was ranked at 30 by Google Books for keyword fuzzy thinking the new science of fuzzy logic.
Book ID of Readings in Fuzzy Sets for Intelligent Systems's Books is JCSjBQAAQBAJ, Book which was written byDidier J. Dubois,Henri Prade,Ronald R. Yagerhave ETAG "IGf/8bf6YA8"
Book which was published by Morgan Kaufmann since 2014-05-12 have ISBNs, ISBN 13 Code is 9781483214504 and ISBN 10 Code is 1483214508
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