Seminar Announcement
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The contact person listed below is the volunteer who has arranged this event.
Please use the e-mail link provided if you have any questions, suggestions,
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| Title
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Type-2 Fuzzy Logic Controllers: A way Forward for Fuzzy Systems in Real World Environments
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| Speaker
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Prof. Hani Hagras
School of Computer Science and Electronic Engineering
University of Essex (UK)
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| Day and Time
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Tuesday, April 26, 2011, 10:00 a.m. – 11:30 p.m. (EDT) (i.e., Toronto, Ontario)
Tuesday, April 26, 2011, 3:00 p.m. – 4:30 p.m. (BST, i.e., British Summer Time) (i.e., London, UK)
Note: the webinar is expected to last no longer than an hour. However, time is allowed for Questions and Answers.
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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 |
| Location
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Online Webinar (see registration below)
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| Webinar
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Registration is free but it is required..
After registering you will receive a confirmation email containing information about joining the Webinar.
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
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| Registration |
Space is limited. Reserve your Webinar seat now at:
https://www2.gotomeeting.com/register/792957898
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| Organizer
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| Contact
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Anna T. Lawniczak. E-mail:
IEEE Ottawa members contact: Moufid Harb
IEEE Toronto members contact: Anna T. Lawniczak
IEEE UK and Republic of Ireland members contact: Damien Coyle
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| 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.
| | Biography |
Prof. Hani Hagras is a Professor in the School of Computer Science and Electronic Engineering, Director of the Computational Intelligence Centre and the Head of the Fuzzy Systems Research Group in the University of Essex, UK. His major research interests are in computational intelligence, notably type-2 fuzzy systems, fuzzy logic, neural networks, genetic algorithms, and evolutionary computation. His research interests also include ambient intelligence, pervasive computing and intelligent buildings. He is also interested in embedded agents, robotics and intelligent control. He has authored more than 200 papers in international journals, conferences and books. He is a Fellow of the Institution of Engineering and Technology (IET (IEE)) and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He was the Chair of IEEE Computational Intelligence Society (CIS) Senior Members Sub-Committee. He is also the Vice- Chair of the IEE CIS Emergent Technologies Technical Committee. His research has won numerous prestigious international awards where most recently he was awarded by the IEEE Computational Intelligence Society (CIS), the 2004 Outstanding Paper Award in the IEEE Transactions on Fuzzy Systems. He is an Associate Editor of the IEEE Transactions on Fuzzy Systems. He is also an Associate Editor of the International Journal of Robotics and Automation, the Journal of Cognitive Computation, the Journal of Applied Computational Intelligence and Soft Computing and the Journal of Ambient Computing and Intelligence. He is a member of the IEEE Computational Intelligence Society (CIS) Fuzzy Systems Technical Committee. Prof. Hagras chaired several international conferences where most recently he served as the General Co-Chair of the 2007 IEEE International Conference on Fuzzy systems London, July 2007 and he served as the Programme Chair of 2009 IEEE Symposium on Intelligent Agents, Nashville, USA, April 2009. He also served as the Programme Chair of the 2010 International Conference on Intelligent Systems and Design (ISDA 2010) and he is also the General Co-Chair of the 2011 IEEE Symposium on Intelligent Agents and 2011 IEEE Symposium on Advances to Type-2 Fuzzy Logic Systems.
http://cswww.essex.ac.uk/staff/hagras/hani.htm
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