讲座题目：Rough sets and interactive granular computing
The discovery of rough sets by Professor Zdzisław Pawlak from Poland has completed 35 years. The theory has already attracted the attention of many researchers and practitioners, who have contributed essentially to its development, all over the world, including China. The methods, developed based on rough set theory alone or in combination with other approaches, found applications in many areas. In this lecture, we outline some selected past and present research directions on rough sets. In particular, we emphasize the importance of searching strategies for relevant approximation spaces as the basic tools in achieving computational building blocks (granules or patterns) required for approximation of complex vague concepts. This is crucial for many real-life problems. In solving such problems, information granulation leading to information granules, the basic concept of Granular Computing (GrC), plays an important role. In Data Science, we deal not only with Big Data but we should develop methods for acquiring such Big Data in interaction with complex systems embedded in the physical reality. Recently, in searching for foundations of Data Science, GC was extended to Interactive Granular Computing (IGrC) where computations are performed on complex granules embedded in the physical reality and reasoning about properties of such computations is based on adaptive judgment. Using this computing model, we discuss some challenges of Data Science, e.g., related to knowledge discovery, in particular, to control problems of computations over complex granules or risk management.
ECCA and IRSS Fellow, received the Ph. D. and D. Sci. (habilitation) from the University of Warsaw in Poland. In 1991 he received the Scientific Title of Professor. He is Full Professor in the Faculty of Mathematics, Computer Science and Mechanics at the University of Warsaw and in Systems Research Institute of Polish Academy of Sciences. Andrzej Skowron is the (co)author of more than 400 scientific publications and editor of many books. His areas of expertise include reasoning with incomplete information, approximate reasoning, soft computing methods and applications, rough sets, rough mereology, granular computing, intelligent systems, knowledge discovery and data mining, decision support systems, adaptive and autonomous systems, perception based computing, and interactive computational systems. He was the supervisor of more than 20 PhD Theses. In the period 1995-2009 he was the Editor-in-Chief of Fundamenta Informaticae journal. He is on Editorial Boards of many international journals. Andrzej Skowron was the President of the International Rough Set Society from 1996 to 2000. He has delivered numerous invited talks at international conferences including a plenary talk at the 16th IFIP World Computer Congress (Beijing, 2000). He was serving as (co-)program chair, advisory board member, and PC member of more than 200 international conferences. He was involved in numerous research and commercial projects including dialog-based search engine (Nutech), fraud detection for Bank of America (Nutech), logistic project for General Motors (Nutech), algorithmic trading (Adgam), control of UAV (Linköping University), and medical decision support (Polish-American Pediatric Clinic in Cracow). Andrzej Skowron was on the ICI Thomson Reuters list of the mostly cited researchers in Computer Science (globally) in 2012 and 2016.