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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Castillo, Oscar (Συγγραφέας), Melin, Patricia (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Σειρά:SpringerBriefs in Applied Sciences and Technology, 1
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.