When: April 26, 2011

Location: Online – Webinar.
Presenter: Hani Hagras Professor, University of Essex (UK)
Time: 10:00 to 11:30 (EDT)
Registration: Free, registration required
Organized By: Ottawa Chapter of IEEE Computational Intelligence Society
Note: Please, login at least 15 minutes earlier to check your connection and make sure that you are ready to attend the talk when it begins.
System Requirements: PC-based attendees Required: Windows 2000, XP Home, XP Pro, 2003 Server, Vista
Macintosh-based attendees Required: Mac OS X 10.4 (Tiger) or newer
Url:  http://ottawa.ieee.ca/ci/nextMeetings.html
Abstract: Type-1 Fuzzy Logic Controllers (FLCs) have been applied to date with great success to many different applications. However, for many real-world applications, there is a need to cope with large amounts of uncertainties. The traditional type-1 FLC using crisp type-1 fuzzy sets cannot directly handle such uncertainties. A type-2 FLC using type-2 fuzzy sets can handle such uncertainties to produce a better performance. Hence, type-2 FLCs will have the potential to overcome the limitations of type-1 FLCs and produce a new generation of fuzzy controllers with improved performance for many applications, which require handling high levels of uncertainty. Through the review of the various type-2 FLC applications, it has been shown that as the level of imprecision and uncertainty increases, the type-2 FLC will provide a powerful paradigm to handle the high level of uncertainties present in real-world environments. It has been also shown in various applications that the type-2 FLCs have given very good and smooth responses that have always outperformed their type-1 counterparts. Thus, using a type-2 FLC in real-world applications can be a better choice since the amount of uncertainty in real systems most of the time is difficult to estimate. It is envisaged to see a wide spread of type-2 FLCs in many real-world application in the next decade. This talk will introduce the interval type-2 FLCs and how they present a way forward for fuzzy systems in real world environments and applications that face high levels of uncertainties. The talk will present different ways to design interval type-2 FLCs. The talk will also present the successful application of type-2 FLCs to many real world settings including industrial environments, mobile robots, ambient intelligent environments and intelligent decision support systems. The talk will conclude with an overview on the future directions of type-2 FLCs.