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Introduction to Fuzzy Logic using MATLAB

By: Sivanandam, S. N [author.].
Contributor(s): Sumathi, S [author.] | Deepa, S. N [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.Description: XIV, 430 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540357810.Subject(s): Engineering | Artificial intelligence | Computer graphics | Applied mathematics | Engineering mathematics | Engineering | Appl.Mathematics/Computational Methods of Engineering | Artificial Intelligence (incl. Robotics) | Computer Imaging, Vision, Pattern Recognition and GraphicsDDC classification: 519 Online 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.
In: Springer eBooksSummary: 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 location Call number Status Date due Barcode Item holds
E books E books PK Kelkar Library, IIT Kanpur
Available EBK10007
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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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