EXTENSIONS TO TYPE-1 FUZZY SETS

A Task Force of the Fuzzy Systems Technical Committee of the IEEE Computational Intelligence Society

Background

 The IEEE Computational Intelligence Society is a new society which includes fuzzy logic under its umbrella and the IEEE Transactions on Fuzzy Systems and an annual conference (FUZZ-IEEE). Over recent years there has been increased interest in other forms of fuzzy sets than the traditional (type-1) fuzzy sets. This, perhaps, reflects a need for more expressive forms of modelling uncertainty and a belief within the community that these other approaches may be able to help in difficult applications. There are many extensions that could be considered and they include type-2 fuzzy sets, intuitionistic fuzzy sets and rough sets. The current membership of this task force represents these three paradigms in particular.

Scope

 The primary purpose of the task force is to promote extensions to type-1 fuzzy sets within the fuzzy logic research community and applications.

By promote we mean that we wish to raise the profile of these interesting ideas and encourage other researchers to consider them for their own work. The extensions we will definitely want to promote are:

• Type-2 Fuzzy sets
• Intuitionistic Fuzzy Sets
• Rough Sets

However we are awar that there are areas we could consider such as level-2 fuzzy sets, interval fuzzy probability etc As time progresses we may consider co-opting new members in these fields but there is plenty of work in the three primary areas.

• Prof. Robert John (Chair)
• Dr Hani Hagras (Co-Chair)
• Prof. Jerry Mendel
• Prof. Oscar Castillo
• Prof. Etienne Kerre
• Prof. Andrzej Skowron
• Prof. Zhi-Qiang LIU
• Prof. Woei Wan Tan
• Dr Leszek Rutkowski

Special sessions on topics pertaining to the task force has been arranged for FUZZ-IEEE 2005 and FUZZ-IEEE 2006