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Proceedings of the 17th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 30

Rough Sets Turn 40: From Information Systems to Intelligent Systems

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DOI: http://dx.doi.org/10.15439/2022F310

Citation: Proceedings of the 17th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 30, pages 23–34 ()

Full text

Abstract. The theory of rough sets was founded by Zdzis\l{}aw Pawlak to serve as a framework for data and knowledge exploration. Following Professor Pawlak's seminal paper titled ``Rough Sets'' published in 1982 in International Journal of Computer and Information Sciences, it is important to discuss the history, the presence and possible future developments of this theory, as well as its applications. One of the key aspects that lets us use rough sets in practical scenarios is the notion of information system, which in fact comes from even earlier Professor Pawlak's works. Information systems are the means for data and knowledge representation. They constitute the input to rough set mechanisms aimed at computing concept approximations and deriving compacted and interpretable decision models. Accordingly, in this paper we discuss where information systems come from. We claim that in many applications it is not enough to treat a data set -- represented as an information system---as a purely mathematical object with no linkage to the data origins. Quite oppositely, in practice we may need to work with information systems more actively, giving ourselves a technical possibility to construct them dynamically, taking into account interaction with physical environments where the data is created.

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