Introduction to Fuzzy Logic using MATLAB Softcover reprint of hardcover 1st ed. 2007 Edition

Introduction to Fuzzy Logic using MATLAB Softcover reprint of hardcover 1st ed. 2007 Edition book cover

Introduction to Fuzzy Logic using MATLAB Softcover reprint of hardcover 1st ed. 2007 Edition

Author(s): S.N. Sivanandam (Author), S. Sumathi (Author), S. N. Deepa (Author)

  • Publisher: Springer
  • Publication Date: 14 Oct. 2010
  • Edition: Softcover reprint of hardcover 1st ed. 2007
  • Language: English
  • Print length: 444 pages
  • ISBN-10: 3642071449
  • ISBN-13: 9783642071447

Book Description

Fuzzy Logic, at present is a hot topic, among academicians as well various programmers. This book is provided to give a broad, yet an in-depth overview of the filed 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.

Editorial Reviews

Review

From the reviews:

"This book constitutes a comprehensive and didactically appealing introduction to the essentials of fuzzy sets, fuzzy logic and their applications. The exposition of the material is presented in the commonly encountered computational framework of MATLAB. … The didactic value of the book is very good. … Examples and exercises are definitely a strong feature of the book … . Overall, the book can be regarded as an excellent introductory text to all newcomers to fuzzy sets interested in their fundamentals and applications." (Witold Pedrycz, Zentralblatt MATH, Vol. 1109 (11), 2007)

From the Back Cover

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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