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WCCI 2016 - Fuzz-IEEE 2016, Special Session on

Type-2 Fuzzy Sets and Systems Applications (T2-A)

July 25-29, 2016, Vancouver, Canada



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:

* using type-2 fuzzy sets and/or fuzzy systems


Contact email:




Dr Christian Wagner

Horizon Digital Economy Institute & Intelligent Modeling and Analysis Group

School of Computer Science

University of Nottingham, UK



Prof Hani Hagras

School of Computer Science and Electronic Engineering

University of Essex, UK