Type-2 fuzzy logic: theory and applications

Type-2 fuzzy logic: theory and applications

Castillo, O.
Melin, P.

119,55 €(IVA inc.)

This book describes new methods for building intelligent systems using type-2fuzzy 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. The authors extends 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 technique offers. We consider in this book the use of type-2 fuzzy logic and traditional SC techniques to solve pattern recognition problems in realworld applications. 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. Presents theory and applications of Type-2 Fuzzy Logic INDICE: From the contents Introduction to Type-2 Fuzzy Logic.- Type-1 Fuzzy Logic.- Type-2 Fuzzy Logic.- A Method for Type-2 Fuzzy Inference in Control Applications.- Design of Intelligent Systems with Interval Type-2 Fuzzy Logic.- Method for Response Integration in Modular Neural Networks with Type-2 FuzzyLogic.- Type-2 Fuzzy Logic for Improving Training data and Response Integration in Modular Neural Networks for Image Recognition.- Fuzzy Inference Systems Type-1 and Type-2 for Digital Images Edge Detection.- Systematic Design of a Stable Type-2 Fuzzy Logic Controller.- Experimental Study of Intelligent Controllers under Uncertainty Using Type-1 and Type-2 Fuzzy Logic.- Evolutionary optimization of interval type-2 membership functions using the Human EvolutionaryModel.- Design of Fuzzy Inference Systems with the Interval Type-2 Fuzzy Logic Toolbox.- Intelligent Control of the Pendubot with Interval Type-2 Fuzzy Logic.

  • ISBN: 978-3-540-76283-6
  • Editorial: Springer
  • Encuadernacion: Cartoné
  • Páginas: 300
  • Fecha Publicación: 01/02/2008
  • Nº Volúmenes: 1
  • Idioma: Inglés