Speaker: Hani Hagras
Title: Type-2 Fuzzy Logic Systems and Their Applications
Time: 10:00 AM, June 26, 2025(Thursday)
Location: 290 Arts and Science Building
Abstract:
For many real-world applications, there is a need to cope with large amounts of uncertainties available in real world environments and applications. The traditional type-1 Fuzzy Logic Systems (FLSs) that use crisp type-1 fuzzy sets cannot directly handle such uncertainties. Type-2 FLSs that use type-2 fuzzy sets can handle such uncertainties to produce a better performance. Hence, type-2 FLSs will have the potential to overcome the limitations of type-1 FLSs and produce a new generation of fuzzy systems with improved performance for many applications which require handling high levels of uncertainty. This talk will provide an overview of the interval type-2 FLCs and their advantages over type-1 FLCs. We will also present different techniques to avoid the computational overheads and thus enabling the type-2 FLSs to produce a good real time response. Furthermore, we will present various successful real world applications of type-2 FLSs.
Personal Introduction:
Professor Hani Hagras holds the position of Professor of Artificial Intelligence at the University of Essex, UK, concurrently serving as Director of Impact, Director of the Computational Intelligence Centre, and Head of the Artificial Intelligence Research Group. He is a Fellow of IEEE, IET, PFHEA, AIIA, and AAIA. His primary research centers on Explainable AI (XAI) and Data Science, with applications spanning finance, cyber-physical systems, neuroscience, life sciences, intelligent robotics, and industrial process control. Author of over 500 publications and holder of 11 industrial patents in XAI, he ranks among the world's top 2% most-cited scientists (Scopus 2021) and is a globally top-ranked scholar (top 0.05%, ScholarGPS). Professor Hagras has received numerous prestigious awards, including twice the IEEE Transactions on Fuzzy Systems Outstanding Paper Award, multiple IEEE FUZZ Conference Best Paper Awards, the Global Telecommunications Business Award (2015, 2017, with BT), IEEE CIS Distinguished Lecturer (2016), University of Essex Research Impact Award (2017), and awards for knowledge transfer and innovation. He serves as Associate Editor for leading journals like IEEE Transactions on Fuzzy Systems and IEEE Transactions on Artificial Intelligence, and has chaired major IEEE conferences including FUZZ-IEEE.
[Editor: Sijia Wang]