Linking Fuzzy Petri-Nets with Interval Analysis
Professor Zbigniew Suraj
University of Rzeszów in Poland
Abstract: Fuzzy Petri nets (FPNs) are a modification of the classic Petri nets that enable modeling of knowledge-based systems (KBSs) with uncertain information. FPNs have been widely used in knowledge representation and approximate reasoning in KBSs. Previous FPN models, as indicated in the literature on this subject, are plagued by a number of shortcomings and are not suitable for increasingly complex KBSs. Therefore, many alternative models have been proposed in the literature to increase the power of FPN knowledge representation and to apply rule-based reasoning more intelligently and more efficiently. It is almost universally known that interval analysis has been developed to make it easier to deal with the processing of uncertain information. In this lecture, we present an approach based on the use of positive aspects of interval analysis to strengthen the FPN into a more realistic model.
Zbigniew Suraj received a PhD from the University of Warsaw in Mathematics and D.Sc. (habilitation) in the field of computer science at the Institute of Computer Science of the Polish Academy of Sciences in Warsaw. He is a titular professor in Poland. He is a full professor at the University of Rzeszów in Poland. He is also the head of the Department of Computer Science at the University. He visited many universities in Europe (Amsterdam, Bratislava, Kiev, Sofia, Uppsala), West Asia (Thuwal) and Canada (Winnipeg). He is a member of the Editorial Board of the Transactions on Rough Sets (Springer) and International Journal of Rough Sets and Data Analysis (IGI Global). He was an editor and co-editor of many special issues of Fundamenta Informaticae (IOS Press) and edited books, as well as two monographs "Rough Computing: theories, technologies and applications" (IGI Global, 2008) and "Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam" (Springer, 2013). He is the co-author of the monograph "Inhibitory Rules in Data Analysis" (Springer, 2009), as well as a co-author of several books in Polish. He has published over 200 scientific papers in prestigious journals and conference proceedings. He is the leader of Rough Set and Petri Net Research Group. His main research interests are focused on the modeling and analysis of intelligent systems, knowledge representation, approximate reasoning, fuzzy sets, rough sets, Petri nets and advanced data mining techniques including process mining. He has organized many domestic and international conferences. He is a member of the steering/program committee of many international conferences concerning rough sets, concurrency, data mining including CS&P, DATA, IJCRS, ISDA, ISMIS, PReMI, RSFDGrC, RSKT. He is a senior member of the International Rough Set Society, a member of the Geselschaft für Informatik Special Interest Group FG 0.0.1 Petri Nets and Related System Models (Germany) and others. He received a number of awards for scientific achievements in the field of computer science, including the individual award of the Minister of Science, Higher Education and Technology, and the team award of the Ministry of National Education in Poland.