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【学术报告】加拿大阿尔伯塔大学Witold Pedrycz教授

发布时间:2019-03-22    字体:[增加 减小]    打印网页   
 

  报告题目:Granular Data Descriptors and Their Generative and Discriminative Facets

报告人:Witold Pedrycz教授(加拿大阿尔伯塔大学)

时间:2019325日(周一) 15:00-16:00

地点:管院311会议室

摘要: Concepts constitute a concise manifestation of key features of data. As being built at the higher level of abstraction than the data themselves, they capture the essence of the data and usually emerge in the form of information granules. In this talk, we identify three main ways in which concepts are encountered and characterized: (i) numeric, (ii) symbolic, and (iii) granular. Each of these views come with their advantages and become complementary to some extent.

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. Dr. Pedrycz is a foreign member of the Polish Academy of Sciences and a Fellow of the Royal Society of Canada. Witold Pedrycz has been a member of numerous program committees of IEEE conferences in the area of fuzzy sets and neurocomputing. He is a recipient of the prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society, IEEE Canada Computer Engineering Medal, Cajastur Prize for Soft Computing from the European Centre for Soft Computing, Killam Prize, and a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society.

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 Int. J. of Granular Computing (Springer). He serves on an Advisory Board of IEEE Transactions on Fuzzy Systems and is a member of a number of editorial boards of other international journals.