Type-2 Fuzzy Logic: Theory and Applications by Oscar R. Castillo
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Type-2 Fuzzy Logic: Theory and Applications

Type-2 Fuzzy Logic: Theory and Applications


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About the Book

We describe in this book, new methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including type-1 fuzzy logic, neural networks, and genetic algorithms, which can be used to create powerful hybrid intelligent systems. In this book, we are extending the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each te- nique offers. We consider in this book the use of type-2 fuzzy logic and traditional SC techniques to solve pattern recognition problems in real-world applications. We c- sider in particular the problems of face, fingerprint and voice recognition. We also consider the problem of recognizing a person by integrating the information given by the face, fingerprint and voice of the person. Other types of applications solved with type-2 fuzzy logic and SC techniques, include intelligent control, intelligent manuf- turing, and adaptive noise cancellation. This book is intended to be a major reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation.


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Product Details
  • ISBN-13: 9783540762836
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Binding: Hardback
  • Edition: 1
  • Language: English
  • Returnable: N
  • Spine Width: 16 mm
  • Weight: 594 gr
  • ISBN-10: 3540762833
  • Publisher Date: 20 Feb 2008
  • Depth: 13
  • Height: 234 mm
  • No of Pages: 243
  • Series Title: Studies in Fuzziness and Soft Computing
  • Sub Title: Theory and Applications
  • Width: 156 mm


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