Vortragender: Dr. Simon Coupland, Centre for Computational Intelligence, De Montfort University, Leicester, UK.
Sprache: Englisch
There has recently been a significant increase in the level of interest in the field of type-2 fuzzy sets and systems. Type-2 fuzzy systems offer the ability to model and reason with uncertain concepts. When faced with uncertainties type-2 fuzzy systems should, theoretically, give an increase in performance over type-1 fuzzy systems. Historically, type-2 systems have been restricted by the burden of heavy computation. Recent developments have overcome these issues making this paradigm suitable for application to many problems where uncertainty is a significant issue. This talk will present a beginners guide to type-2 systems covering:
- Basic concepts and operations - set models, set membership and inference.
- Successful applications - robot control and signal processing.
- Recent breakthroughs - theoretical models and hardware implementations.
- Future directions for the field.