Plenary Lecture 2

Jul. 30th  11:00am – 12:00am

Prof.  Jonathan Garibaldi

University of Nottingham, UK, Editor-in-Chief of IEEE Transactions on Fuzzy Systems

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Title: Modelling Expert Variation with Type-2 Fuzzy Sets

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Humans exhibit variation in their decision making, when faced with difficult problems. Different people give different answers (inter-subject variation) and an individual will even give different answers when faced with the same problem at different times (intra-subject variation). In this talk, I will explain the phenomenon of human variability, and outline methods which can be employed using fuzzy sets to model such variability. In doing so, I will highlight recent research into a new type of fuzzy set termed the Constrained Type-2 Fuzzy Set.

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BIO

Jonathan M. Garibaldi received the B.Sc (Hons) degree in Physics from Bristol University, UK in 1984, and the M.Sc. degree in Intelligent Systems and the Ph.D. degree in Uncertainty Handling in Immediate Neonatal Assessment from the University of Plymouth, UK in 1990 and 1997, respectively. He is Head of School of Computer Science at the University of Nottingham, UK, and leads the Intelligent Modelling and Analysis (IMA) Research Group. His main research interests are modelling uncertainty and variation in human reasoning, and in modelling and interpreting complex data to enable better decision making, particularly in medical domains. He has made many theoretical and practical contributions in fuzzy sets and systems, and in a wide range of generic machine learning techniques in real-world applications. Prof. Garibaldi has published over 300 papers on fuzzy systems and intelligent data analysis, and is the Editor-in-Chief of IEEE Transactions on Fuzzy Systems (2017-). He has served regularly in the organising committees and programme committees of a range of leading international conferences and workshops, such as FUZZ-IEEE, WCCI, EURO and PPSN. He is a Senior Member of the IEEE.