报 告 人：Professor Witold Pedrycz
Computational Intelligence, University of Alberta, Canada
邀 请 人：岳晓冬 副教授
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.
The numeric concepts are built by engaging various clustering techniques. The quality of numeric concepts evaluated at the numeric level is described by a reconstruction criterion. The granular concepts augment numeric concepts by bringing information granularity into the picture and invoking the principle of justifiable granularity in their construction.
Witold Pedrycz is Professor and Canada Research Chair (CRC) in Computational Intelligence, University of Alberta, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Poland. He holds an appointment of special professorship in the School of Computer Science, University of Nottingham, UK. 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. Witold Pedrycz has been a member of numerous program committees of IEEE conferences in the area of fuzzy sets and neurocomputing. Dr. Pedrycz is an Editor-in-Chief of Information Sciences, WIREs Data Mining and Knowledge Discovery (Wiley), and Journal of Granular Computing (Springer). He is an Associate Editor of IEEE Transactions on Fuzzy Systems and is a member of a number of editorial boards of other international journals.