Special Session on Type-2 Fuzzy Logic Theory

The 2009 IEEE International Conference on Fuzzy Systems (FUZZ IEEE 2009), August 2009, Jeju Island, Korea

Fuzzy logic is credited as an adequate methodology for building systems that deliver satisfactory performance in the face of uncertainty and imprecision. Real world fuzzy applications suffer from numerous sources of uncertainty from sensors, actuators and the meaning of the fuzzy sets. The definition of say fast will change under different conditions or the experts designing the fuzzy system may have differing ideas about what constitutes fast.

To date most fuzzy systems rely on type-1 fuzzy sets which have precise membership functions which can not, by definition, model uncertainty as the membership functions are totally precise.

Type-2 fuzzy logic is an emerging paradigm which seeks to overcome this limitation of type-1 systems. Type-2 systems use type-2 fuzzy sets characterised by a fuzzy membership function. The membership functions of type-2 fuzzy sets are three-dimensional and include a footprint of uncertainty. This extra dimension provides additional degrees of freedom that make it possible to directly model and handle uncertainties.

There remains a great deal of deep research to be done exploring the strengths of type-2 fuzzy logic. The aim of this special session is to present top quality research in the area of type-2 fuzzy logic theory. The session will also provide a forum for the academic community and industry to report on the recent advances in type-2 fuzzy logic.

Topics include (but are not limited to):

• Type-2 Fuzzy Logic Systems
• Defuzzification
• Type-2 fuzzy relations
• Computing with Words
• Type-2 Fuzzy Operators
• Computational Complexity

Session Organisers