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*
- Decision Making*
- Clustering and Classification*
- 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: firstname.lastname@example.org
Organizers: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