Rough Sets and Complex Vague Concepts

INVITED SPEAKER:

Andrzej Skowron, Institute of Mathematics, Warsaw University, Poland, skowron@mimuw.edu.pl

Lecture title:
Rough Sets and Complex Vague Concepts

Abstract: Vagueness is not allowed in mathematics, interesting for philosophy, and is a nettlesome problem in natural language, cognitive science, machine learning, data mining, and, in general, in artificial intelligence and computer science.  For example, in robotics or multiagent systems complex vague concepts may concern, e.g., risk, social issues or emotions. Judgment strategies are used for estimation of truth degrees of sentences such as object x belongs to the vague concept C. We discuss Interactive Rough Granular Computing (IRGC) and applications of IRGC to approximation of vague concepts and approximate reasoning about such concepts. Approximation of  complex vague concepts can be supported by domain knowledge, in particular by ontologies. We present illustrative applications of approximation of complex vague concepts and approximation of domain ontologies in real-life projects related to medical decision support, identification of complex behavioral patterns by UAV, sunspot classification, and dialog based search engines.

Andrzej Skowron 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 Warsaw University. Andrzej Skowron is the (co)author of more than 350 scientific publications. His areas of expertise include reasoning with incomplete information, approximate reasoning, soft computing methods and applications, rough sets, rough mereology, granular computing, synthesis and analysis of complex objects, intelligent systems, knowledge discovery and data mining, decision support systems, adaptive and autonomous systems, perception based computing. He was the supervisor of more than 20 PhD Thesis. He was also involved in several national and international research and commercial projects related to, e.g., data mining (fraud detection, web mining), control of unmanned vehicles, medical decision support systems and approximate reasoning in distributed environments. In the period 1995-2009 he was the Editor-in-Chief of Fundamenta Informaticae journal. He is the co-editor-in-chief of the LNCS Transactions on Rough Sets journal published by Springer. He is on Editorial Boards of many others journals including Knowledge Discovery and Data Mining, Information Sciences, and Theoretical Computer Science (Theory of Natural Computing). Andrzej Skowron was the President of the International Rough Set Society from 1996 to 2000. He served or is currently serving on the program committees of more than 100 international conferences and workshops, as program or steering committee member, program chair or co-chair. He has delivered numerous invited talks at international conferences including  plenary talk at the 16-th IFIP World Computer Congress (Beijing, 2000),  keynote talk at 8th Joint Conference on Information Sciences (JCIS 2005) (encompassing 12 individual conferences and workshops) (USA, 2005), invited talk at 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006) and on Web Intelligence (WI 2006) (Hong Kong, 2006), and plenary talk at the 2-nd World Congress on Biologically Inspired Computing (Japan, 2010).