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报 告 人：Witold Pedrycz，加拿大阿尔伯塔大学（University of Alberta，Canada）教授
报告题目：Fuzzy Rule-Based Computing
内容简介：The talk presents the fundamentals and design algorithms of fuzzy rule-based models. Rules-based models exhibit evident advantages with regard to knowledge representation and knowledge interpretation. The processing benefits of rules associated with a modular character of rule-based models are identified. A detailed taxonomy of rule-based architectures along with the two key categories of relational and functional rule-based models is outlined. The main design phases are discussed and provided with the detailed steps presenting a way in which knowledge acquisition is realized including expert-based and data-based ways of knowledge elicitation. The key functional modules, namely encoding- processing-decoding are discussed and analyzed with respect to ensuing analytical numeric input-output relationships and their nonlinear character. The interpretability facet of the rules is investigated and quality of rules in terms of the coverage-specificity requirements is assessed. Recent design trends are discussed.
报告人简介：Witold Pedrycz (IEEE Fellow, 1998) is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. In 2009 Dr. Pedrycz was elected a foreign member of the Polish Academy of Sciences. In 2012 he was elected a Fellow of the Royal Society of Canada. In 2007 he received a prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society. He is a recipient of the IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society.
His main research directions involve Computational Intelligence, fuzzy modeling and Granular Computing, knowledge discovery and data science, pattern recognition, data science, knowledge-based neural networks, and control engineering. He has published numerous papers in these areas; the current h-index is 114 (Google Scholar) and 87 on the list top-h scientists for computer science and electronics http://www.guide2research.com/scientists/. He is also an author of 21 research monographs and edited volumes covering various aspects of Computational Intelligence, data mining, and Software Engineering.
Dr. Pedrycz is vigorously involved in editorial activities. He is an Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Co-editor-in-Chief of Int. J. of Granular Computing (Springer) and J. of Data Information and Management (Springer). He serves on an Advisory Board of IEEE Transactions on Fuzzy Systems and is a member of a number of editorial boards of international journals.