Introduction to fuzzy logic using MATLAB / S.N. Sivanandam, S. Sumathi and S.N. Deepa.

By:

Sivanandam, S. N

Contributor(s):

Material type: Text

TextPublication details: Berlin ; New York : Springer, c2007.Description: xiv, 430 p. : ill. ; 25 cmISBN:

9783642071447

Subject(s):

DDC classification:

511.3130285 22

Contents:

Classical and fuzzy sets.- Classical and fuzzy relations.- Membership Functions.- Defuzzification.- Fuzzy Rule Based System.- Fuzzy Decision Making.- Applications of Fuzzy Logic.- Fuzzy Logic Projects with Matlab.

Summary: Fuzzy Logic, at present is a hot topic, among academicians as well various programmers. This book is provided to give a broad, in-depth overview of the field of Fuzzy Logic. The basic principles of Fuzzy Logic are discussed in detail with various solved examples. The different approaches and solutions to the problems given in the book are well balanced and pertinent to the Fuzzy Logic research projects. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. The solutions to the problems are programmed using MATLAB 6.0 and the simulated results are given. The MATLAB Fuzzy Logic toolbox is provided for easy reference.

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Books	Main library General Stacks	511.3130285 / SI.I 2007 (Browse shelf(Opens below))	1	Available		011864

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"With 304 figures and 37 tables."

Includes bibliographical references

Fuzzy Logic, at present is a hot topic, among academicians as well various programmers. This book is provided to give a broad, in-depth overview of the field of Fuzzy Logic. The basic principles of Fuzzy Logic are discussed in detail with various solved examples. The different approaches and solutions to the problems given in the book are well balanced and pertinent to the Fuzzy Logic research projects. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. The solutions to the problems are programmed using MATLAB 6.0 and the simulated results are given. The MATLAB Fuzzy Logic toolbox is provided for easy reference.

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