T3: Theoretical and Practical Aspects of Type-2 Fuzzy Systems
 

Jerry Mendel
University of Southern California, USA

Bob John
De Montfort University, UK

Hani Hagras
University of Essex, UK

Abstract:
The main aim of this tutorial is to educate a new generation of type-2 fuzzy systems researchers. The main audience of this tutorial will be graduate students, young researchers, engineers or researchers who would like to start working in the area of type-2 fuzzy systems. The tutorial will be a two part tutorial, where the first part of the tutorial (2 hours) will concentrate on the theoretical basis and definitions of type-2 fuzzy sets and systems while giving a complete coverage of interval type-2 fuzzy systems. The tutorial will use different means of simplifying and explaining the subject through different examples. The second part of the tutorial (3 hours) will be split into two parts addressing the practical aspects and the future directions of type-2 fuzzy systems. The practical aspects part of the tutorial will present the necessary algorithms needed to develop complete type-2 fuzzy systems applications. This part of the tutorial will present several applications of type-2 fuzzy systems. We will also explain when to use type-2 fuzzy systems and will guide the audience through the steps needed to design a type-2 fuzzy system. Several interactive examples will be presented to the audience to make sure that the audience can start to confidently design type-2 fuzzy systems. The future directions part will explore future directions of type-2 fuzzy systems explaining what the ¡®hot topics¡¯ are thus allowing, for example, PhD students to see where they might take their work. It will include a short overview of the progress with generalized type-2 fuzzy systems.

 

Vitas:

Jerry M. Mendel received the Ph.D. degree in electrical engineering from the Polytechnic Institute of Brooklyn, Brooklyn, NY. Currently he is Professor of Electrical Engineering and Systems Architecting Engineering at the University of Southern California in Los Angeles, where he has been since 1974. He has published over 470 technical papers and is author and/or editor of eight books, including Uncertain Rule-based Fuzzy Logic Systems: Introduction and New Directions (Prentice-Hall, 2001). His present research interests include: type-2 fuzzy logic systems and their applications to a wide range of problems, including smart oil field technology and computing with words.


He is a Life Fellow of the IEEE and a Distinguished Member of the IEEE Control Systems Society. He was President of the IEEE Control Systems Society in 1986. He is a member of the Administrative Committee of the IEEE Computational Intelligence Society and was Chairman of its Fuzzy Systems Technical Committee. Among his awards are the 1983 Best Transactions Paper Award of the IEEE Geoscience and Remote Sensing Society, the 1992 Signal Processing Society Paper Award, the 2002 Transactions on Fuzzy Systems Outstanding Paper Award, a 1984 IEEE Centennial Medal, an IEEE Third Millennium Medal, a Fuzzy Systems Pioneer Award (2008) from the IEEE Computational Intelligence Society, and a Pioneer Award from the IEEE Granular Computing Conference, May 2006, for Outstanding Contributions in Type-2 Fuzzy Systems.
 
 

Robert John is the Director of the Centre for Computational Intelligence and the Head of Department of Informatics at De Montfort University, Leicester U.K. He has a first class degree in Mathematics, an MSc in Statistics and a PhD in type-2 fuzzy logic. He is a senior member of IEEE and a member of the EPSRC College in the U.K.  He has authored over 100 international papers most of which are on type-2 fuzzy logic and is co-author of the paper "Type-2 Fuzzy Sets Made Simple" which is very widely reference in the type-2 community. He has given a number of plenaries on type-2 fuzzy logic including at WCCI 2006. His work is a mix of theoretical and applied with applications in such diverse fields as breast cancer diagnosis, supply chain modeling and computer games.

 
 

Hani Hagras is a Professor in Computer Engineering at the German University in Cairo. He is also 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 150 papers in international journals, conferences and books.


His work has received funding that totaled to about ¡Ì2.5 Million in the last five years from the European Union, the UK Department of Trade and Industry (DTI), the UK Engineering and Physical Sciences Research Council (EPSRC), the UK Economic and Social Sciences Research Council (ESRC), the Korea- UK S&T fund as well as several industrial companies. He has also two industrial patents in the field of Computational intelligence and intelligent control. 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 is the Chair of IEEE Computational Intelligence Society (CIS) Senior Members Sub-Committee. He served as the chair of the IEEE CIS Task Force on Intelligent Agents (2007-2009) and Chair of the IEEE CIS Task Force on Extensions to Type-1 Fuzzy Sets. His research has won numerous prestigious international awards where most recently he was awarded by the IEEE Computational Intelligence Society (CIS), the Outstanding Paper Award in the IEEE Transactions on Fuzzy Systems. In addition, he was awarded the IET Knowledge Networks Award. 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 served also as a guest editor in the Journal of Information Sciences and the Journal of Ubiquitous Computing and Intelligence. He is a member of the IEEE Computational Intelligence Society (CIS) Fuzzy Systems Technical Committee. He is also a member of the IEEE Industrial Electronics Society (IES) Technical Committee of the Building Automation, Control and Management. In addition he is member of the Executive Committee of the IET Robotics and Mechatronics Technical and Professional Network. 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 also served as Program Chair for the 2008 IET International Conference on Intelligent Environments, Seattle, USA and he is currently serving as the Program Chair of 2009 IEEE Symposium on Intelligent Agents, Nashville, USA, April 2009 and he is also a Program Area Chair (control) for the 2009 IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, August 2009. He served as a member of the international program committees of numerous international conferences.