ROUGH SETS TURN 40: UNCERTAINTY MANAGEMENT PERSPECTIVE ANNIVERSARY PANEL
The theory of Rough Sets was founded by Zdzisław Pawlak in order to serve as an efficient framework for data/information/knowledge representation and exploration. Following Professor Pawlak’s seminal paper titled “Rough Sets” published in 1982 in the International Journal of Computer and Information Sciences (currently International Journal of Parallel Programming), it is important to discuss the history, the presence, and possible future developments of this theory, as well as its applications.
For 40 years, the theory of Rough Sets has been employed as a component of many AI systems and methodologies. Actually, since the very beginning, this theory has been perceived as a source of methods that could be efficiently integrated with other approaches. This applies also to the areas of Uncertainty Management and Approximate Reasoning. In particular, this is visible within the history of IPMU conferences, whereby Rough Sets have been represented by a number of talks and sessions.
The aim of this panel is therefore to discuss both the strong points of Rough Sets and the ways of using them in hybrid solutions. The panelists will share their memories and experiences related to rough-set-based decision making, applications of rough set approximations, rough set contributions to machine learning, etc. Also, as we are all living in “the world of big data”, we will discuss big data perspectives for Uncertainty Management and Approximate Reasoning, with Rough Sets as a special case.
- Davide Ciucci, Department of Informatics, Systems, and Communication, University of Milano–Bicocca, Italy
- Salvatore Greco, Department of Economics and Business, University of Catania, Italy
- Jesús Medina, Department of Mathematics, University of Cádiz, Spain
- Ernestina Menasalvas, Center for Biomedical Technology, Technical University of Madrid, Spain
- Andrzej Skowron, Systems Research Institute, Polish Academy of Sciences, Poland
- Dominik Ślęzak (moderator), Institute of Informatics, University of Warsaw, Poland