Hani Hagras

General Type-2 Fuzzy Logic Systems For Real World Applications  

Hani Hagras
The Computational Intelligence Centre
School of Computer Science and Electronic Engineering
University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, United Kingdom

Abstract – Most real world applications face high levels of uncertainties that can affect the operations of such applications. Hence, there is a need to develop different approaches that can handle the available uncertainties and reduce their effects on the given application. To date, Type-1 Fuzzy Logic Systems (FLSs) have been applied with great success to many different real world applications. Nevertheless it has been shown that higher order FLSs such as general type-2 FLSs can better handle the high levels of uncertainties present in real world applications and thus produce a better performance. However, the immense computational complexities associated with general type-2 FLSs have until recently prevented their application to real world control problems.

This talk will explain the concepts of interval and general type-2 FLSs and will present new computationally efficient frameworks to design general type-2 for real world applications. This talk will explain how the proposed approach can present a way forward for fuzzy systems in real world environments and applications that face high levels of uncertainties. The talk will also present the several successful real world applications of general type-2 FLSs.

 

Bio – Hani Hagras is a Professor of Computational Intelligence, Director of the Computational Intelligence Centre, Head of the Fuzzy Systems Research Group and Head of the Intelligent Environments Research Group in the University of Essex, UK.

He is a Fellow of Institute of Electrical and Electronics Engineers (IEEE) and he is also a Fellow of the Institution of Engineering and Technology (IET).

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 300 papers in international journals, conferences and books. His work has received funding that totalled to about £5 Million in the last five years from the European Union, the UK Technology Strategy Board (TSB), 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) as well as several industrial companies including. He has also Five industrial patents in the field of computational intelligence and intelligent control.

His research has won numerous prestigious international awards where most recently he was awarded by the IEEE Computational Intelligence Society (CIS), the 2013 Outstanding Paper Award in the IEEE Transactions on Fuzzy Systems and also he has won the 2004 Outstanding Paper Award in the IEEE Transactions on Fuzzy Systems. He was also awarded the 2015 Global Telecommunications Business award for his joint project with British Telecom. In 2016, he was elected as Distinguished Lecturer by the IEEE Computational Intelligence Society. He was also the Chair of the IEEE CIS Chapter that won the 2011 IEEE CIS Outstanding Chapter award. His work with IP4 Ltd has won the 2009 Lord Stafford Award for Achievement in Innovation for East of England. His work has also won the 2011 Best Knowledge Transfer Partnership Project for London and the Eastern Region. His work has also won best paper awards in several conferences including the 2014 and 2006 IEEE International Conference on Fuzzy Systems and the 2012 UK Workshop on Computational Intelligence.

He served as the Chair of IEEE Computational Intelligence Society (CIS) Senior Members Sub-Committee. He served also as the chair of the IEEE CIS Task Force on Intelligent Agents. He is currently the Chair of the IEEE CIS Task Force on Extensions to Type-1 Fuzzy Sets. He is also a Vice Chair of the IEEE CIS Technical Committee on Emergent Technologies. He is a member of the IEEE Computational Intelligence Society (CIS) Fuzzy Systems Technical Committee. He served also as a mement of the IEEE CIS Fellows Committee. He serves also as a member of the IEEE CIS conferences committee.

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.

Prof. Hagras chaired several international conferences where he will act as the Programme Chair of the 2017 IEEE International Conference on Fuzzy Systems. He served as the Co-Chair of the 2014, 2013, 2011 and 2009 IEEE Symposium on Intelligent Agents, and the 2011 IEEE International Symposium on Advances to Type-2 Fuzzy Logic Systems. He was also the General Co-Chair of the 2007 IEEE International Conference on Fuzzy systems.