WCCI 2016 - Fuzz-IEEE 2016, Special Session on
Type-2 Fuzzy Sets and Systems Applications (T2-A)
July 25-29, 2016, Vancouver, Canada
Organizers:
Dr Christian Wagner and Prof. Hani Hagras
Introduction to the Special Session:
Type-2 fuzzy sets and systems are paradigms
which seek to realize computationally efficient fuzzy systems with the ability
to give excellent performance in the face of highly uncertain conditions.
Specifically, type-2 fuzzy sets provide a framework for the comprehensive
capturing and modelling of uncertain data, which, together with approaches such
as clustering and similarity measures (to name but two) provides strong
capability for reasoning about and with uncertain information sources in a
variety of contexts and applications.
Type-2 fuzzy systems combine the potential of type-2 fuzzy sets with the
strengths of rule-based inference in order to provide highly capable inference
systems over uncertain data which remain white-box systems (i.e. interpretable).
The aim of this special session is to present and focus top quality research in
the areas related to the practical aspects and applications of type-2 fuzzy sets
and systems. The session will also provide a forum for the academic community
and industry to report on recent advances within the type-2 fuzzy sets and
systems research. Topics include, but are not limited to:
- Type-2 Applications
- Applications including similarity and distance measures for type-2 fuzzy sets
- Data analysis*
- Robotics*
- Decision Making*
- Clustering and Classification*
- Modelling*
- Computing with words*
- Type-2 Fuzzy Agents
- Any other application area that employs type-2 fuzzy sets
* using type-2 fuzzy sets and/or fuzzy systems
Contact email: christian.wagner@nottingham.ac.uk
Organizers:
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Dr Christian Wagner Horizon Digital Economy Institute & Intelligent Modeling and Analysis Group School of Computer Science University of Nottingham, UK Email: christian.wagner@nottingham.ac.uk
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Prof Hani Hagras School of Computer Science and Electronic Engineering University of Essex, UK Email: hani@essex.ac.uk http://cswww.essex.ac.uk/staff/hagras/hani.htm
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