Fuzzy Logic: Intelligence, Control, and Information
ISBN-13:
9780135258170
ISBN-10:
0135258170
Edition:
1
Author:
Reza Langari, John Yen
Publication date:
1998
Publisher:
Pearson
Format:
Paperback
576 pages
Category:
AI & Machine Learning
,
Computer Science
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Book details
ISBN-13:
9780135258170
ISBN-10:
0135258170
Edition:
1
Author:
Reza Langari, John Yen
Publication date:
1998
Publisher:
Pearson
Format:
Paperback
576 pages
Category:
AI & Machine Learning
,
Computer Science
Summary
Fuzzy Logic: Intelligence, Control, and Information (ISBN-13: 9780135258170 and ISBN-10: 0135258170), written by authors
Reza Langari, John Yen, was published by Pearson in 1998.
With an overall rating of 3.6 stars, it's a notable title among other
AI & Machine Learning
(Computer Science) books. You can easily purchase or rent Fuzzy Logic: Intelligence, Control, and Information (Paperback, Used) from BooksRun,
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AI & Machine Learning
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Description
Highlights motivations and benefits of employing fuzzy logic in control engineering and information systems. Providing equal emphasis on theoretical foundations and practical issues, this book features fuzzy logic concepts and techniques in intelligent systems, control, and information technology. Uses Fuzzy Logic Toolbox for MATLABâ„¢ to demonstrate exemplar applications and to develop hands-on exercises. Introduces the connection between fuzzy logic and related ideas, methods, and theories developed in other disciplines (e.g., artificial intelligence, probability theory, control, model identification, etc.).
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