Type-2 Fuzzy Logic: Theory and Applications PDF

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.