A first course in fuzzy logic / Hung T. Nguyen, Elbert A. Walker.

By:

Nguyen, Hung T, 1944-

Contributor(s):

Walker, E. (Elbert), 1930-

Publication details: Boca Raton, FL : Chapman & Hall, c2000.Edition: 2nd edDescription: 373 p. : ill. ; 24 cmISBN:

0849316596 :

Other title:

Fuzzy logic

Subject(s):

LOC classification:

QA76.87 .N497 2000

Summary: This book provides an introduction to the theory of fuzzy sets: mathematical objects modelling the vagueness of our natural language when we describe phenomena that do not have sharply defined boundaries. The book provides background information necessary to apply fuzzy set theory in various areas, including engineering, fuzzy logic, and decision-making. The exercises at the end of each chapter deepen the reader's understanding of the concepts and test their ability to make the necessary calculations.

Holdings
Item type	Current library	Home library	Shelving location	Call number	Status	Date due	Barcode
Books	American University in Dubai	American University in Dubai	Main Collection	QA 76.87 .N497 2000 (Browse shelf(Opens below))	Available		615047

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Previous	QA 76.87 G77 2007 Principles of artificial neural networks /	QA 76.87 .H39 2009 Neural networks and learning machines /	QA 76.87 .K38 1996 Understanding neural networks and fuzzy logic : basic concepts and applications /	QA 76.87 .N497 2000 A first course in fuzzy logic /	QA 76.87 .T76 1997 Fuzzy and neural approaches in engineering /	QA 76.88 .I58 2010 High performance computing and applications : second international conference, HPCA 2009, Shanghai, China, August 10-12, 2009 : revised selected papers /	QA 76.9 .A25 Information security theory and practice : security, privacy and trust in computing systems and ambient intelligent ecosystems ; 6th IFIP WG 11.2 International Workshop, WISTP 2012, Egham, UK, June 20-22, 2012. Proceedings /	Next

Includes bibliographical references (p. 335-349).

This book provides an introduction to the theory of fuzzy sets: mathematical objects modelling the vagueness of our natural language when we describe phenomena that do not have sharply defined boundaries. The book provides background information necessary to apply fuzzy set theory in various areas, including engineering, fuzzy logic, and decision-making. The exercises at the end of each chapter deepen the reader's understanding of the concepts and test their ability to make the necessary calculations.

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A first course in fuzzy logic / Hung T. Nguyen, Elbert A. Walker.

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