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CS Graduate Seminar: Combining Fuzzy Petri-Nets with Interval Analysis

Start Date: January 28, 2019
End Date: January 28, 2019

By Professor Zbigniew Suraj (University of Rzeszów)​

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 an approach based on the use of positive aspects of interval analysis to strengthen the FPN into a more realistic model will be discussed.
 
Biography: Zbigniew Suraj received a PhD degree at the University of Warsaw in the field of mathematics and DSc (habilitation) in the field of computer science at the Institute of Computer Science of the Polish Academy of Sciences. He is a titular professor in Poland, a full professor at the University of Rzeszów and a head of the Chair of Computer Science at this university. His main research interests are focused on the modeling and analysis of intelligent systems, knowledge representation, approximation, Petri nets, rough/fuzzy sets and advanced data mining techniques, including process mining. He published over 150 scientific articles mostly indexed in the Web of Science and Scopus databases. Organizer/co-organizer of many national and international scientific conferences, member of the steering/program committee of many international conferences on rough sets, concurrency, intelligent systems, data mining. Since 2001, he has been the leader of the Rough Set and Petri Net Research Group. He received a number of awards for scientific achievements in the field of computer science.
 

More Information:

For more info contact: Prof. Mikhail Moshkov: email: mikhail.moshkov@kaust.edu.sa
 
Date: Monday 28th Jan 2019
Time:12:00 PM - 01:00 PM
Location: Bldg. 9 Hall 1
Refreshments: Light Lunch will be served at 11:45 AM