Recent Advances in Interval Type-2 Fuzzy Systems

This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hy-brid intelligent systems have been built using the advantages that each techni...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Castillo, Oscar (Author), Melin, Patricia (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:SpringerBriefs in Computational Intelligence, 1
Subjects:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Access:Texto Completo
Table of Contents:
  • Introduction
  • Type-2 Fuzzy Logic Systems
  • Bio-Inspired Optimization Methods
  • Overview of Genetic Algorithms Applied in the Optimization of Type-2 Fuzzy Systems
  • Particle Swarm Optimization in the Design of Type-2 Fuzzy Systems
  • Ant Colony Optimization Algorithms for the Design of Type-2 Fuzzy Systems
  • Other Methods for Optimization of Type-2 Fuzzy Systems
  • Simulation Results Illustrating the Optimization of Type-2 Fuzzy Controllers
  • Genetic Optimization of Interval Type-2 Fuzzy Sys-tems for Hardware Implementation on FPGAs
  • General Overview of the Area and Future Trends.

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