Similarity measure for aggregated fuzzy numbers from interval-valued data
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Justin Kane Gunn holds a Bachelor of Computer Science (BCS) from Monash University, and has recently completed his MSc thesis in the School of Computing and Information Systems at the University of Melbourne. Having worked as an Associate Lecturer at RMIT University, he currently works as a Lecturer and Course Coordinator at Stott's College whilst completing his MSc. His Research Interests include Machine Learning, Modelling, Uncertainty, Decision Making and Artificial Intelligence (Game Theory).
Hadi A. Khorshidi received his Ph.D from Monash University, where he worked as Research Fellow and Senior Data Analyst. He currently works as a Research Fellow in School of Computing and Information Systems at the University of Melbourne. His research areas include Decision Making and Optimization, Data Mining and Machine Learning, Modelling, Uncertainty and Digital Health, where he has published several papers.
Uwe Aickelin holds a Ph.D degree from the University of Wales (UK). He is now a Professor and Head of School of Computing and Information Systems at the University of Melbourne. He is an Associate Editor of IEEE Transactions on Evolutionary Computation. His Research Interests include Artificial Intelligence (Modelling and Simulation), Data Mining and Machine Learning (Robustness and Uncertainty), Decision Support and Optimisation (Medicine and Digital Economy) and Health Informatics (Electronic Healthcare Records).