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Fuzzy Logic: Implementations and Applications (Hardcover)

by M. J. Patyra (Editor), D. J. Mlynek (Editor) "Fuzzy rule-based approximate reasoning is attracting more and more interest from researchers and practitioners nowadays ..." (more)

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Product details

Hardcover: 346 pages
Publisher: WileyBlackwell (26 April 1996)
Language English
ISBN-10: 0471950599
ISBN-13: 978-0471950592
Product Dimensions: 25.1 x 17.4 x 2.6 cm
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Product Description

Product Description
Offering a new perspective on a growing field, the text explores the many hardware implications of fuzzy logic based circuits. As use of AI increases, so the VLSI area of circuits is becoming a growth subject. The text surveys fuzzy set theory before moving on to cover a range of nonstandard solutions for fuzzy logic VLSI circuits. An overview of future trends is included plus practical examples from the authors′ research which will enhance the reader′s understanding of the topic. This is the first book on hardware aspects of fuzzy systems which offers a mixture of classical work and the authors′ new perspective.

From the Back Cover
Fuzzy logic–based circuits are instrumental in computer hardware applications. Currently, they are widely relied upon to recognize gradual and relative properties in electronic and real data. This comprehensive edited volume focuses on ′fuzzy technology′. Presented in four clearly organized thematic sections, coverage includes fuzzy set theory, fuzzy logic control, examples of fuzzy logic implementations and finally examples of neuro–fuzzy hybrid systems and their applications. Featuring:
∗ Explanation of classical fuzzy logic, fuzzy arithmetic operations, approximate reasoning and fuzzy control in terms of Boolean logic, set theory, and control theory
∗ Detailed discussion of digital and analog implementation of fuzzy logic discrete and VLSI circuits
∗ Coverage of fuzzy control–based systematic design methodology, and assessment of the compatibility of conventional control with crisp fuzzy control
∗ An overview of the latest fuzzy logic digital and analog hardware applications including CMOS and CAD tools
∗ Includes chapter–by–chapter synopses and exercises
Written by a team of internationally renowned computer science specialists, this is a forward–looking account of the emergence of neuro–fuzzy systems. Professional computer scientists and engineers developing fuzzy logic applications will find this an invaluable reference. Researchers and students in the broad field of artificial intelligence will find this a source of inspiration.

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