Type-2 fuzzy logic is an emerging paradigm which seeks to extend the possibilities offered by type-1 fuzzy logic.
Type-2 fuzzy logic systems use fuzzy logic sets which are characterised by a type-2 fuzzy membership function. The membership functions of type-2 fuzzy sets are three-dimensional and include a footprint of uncertainty. It is this extra dimension as well as the footprint of uncertainty which provide additional degrees of freedom that make it possible to directly and effectively model and handle uncertainties. It has been shown that interval type-2 fuzzy logic systems tend to outperform their type-1 counterparts with the same number of fuzzy rules in applications which are subject to a high degree of uncertainty.
The aim of this special session is to present top quality research in the areas related to the practical aspects and applications of type-2 fuzzy systems. The session will also provide a forum for the academic community and industry to report on the recent advances on the type-2 fuzzy logic system research in the various domains of type-2 fuzzy logic, both at the interval type-2 as well as the general type-2 level.
Topics include, but are not limited to:
Type-2 applications in the fields of:
All papers submitted have to follow the submission guidelines for FUZZ-IEEE 2009.
Session organisers:
Professor Hani Hagras |
Christian Wagner |
Professor Woei Wan Tan |
The Computational Intelligence Centre School of Computer Science and Electronic Engineering University of Essex Colchester, CO4 3SQ UK Phone: +44 1206 873601 Fax: +44 1206 872788 Email: hani AT essex.ac.uk
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The Computational Intelligence Centre School of Computer Science and Electronic Engineering University of Essex Colchester, CO4 3SQ UK Phone: +44 1206 873601 Fax: +44 1206 872788 Email: chwagn AT essex.ac.uk
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Department of Electrical and Computer Engineering National University of Singapore Singapore Phone: + 65 6516 8323 Fax: + 65 6779 1103 Email: wwtan AT nus.edu.sg
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