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## Introduction to Fuzzy Logic using MATLAB [electronic resource] / by S. N. Sivanandam, S. Sumathi, S. N. Deepa.

Material type: TextLanguage: English Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Description: XIV, 430 p. 304 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540357810Additional physical formats: Printed edition:: No titleDDC classification: 519 LOC classification: TA329-348TA640-643Online resources: Click here to access online
Contents:
Classical Sets 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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Classical Sets 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.

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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