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Rough Set Theory Fundamentals

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Rough Set–Based Classification Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 802))

Abstract

The rough set theory was proposed by Polish scientist Zdzisław Pawlak. The first paper containing an outline of the theory was published in 1982 in the International Journal of Computer and Information Sciences Pawlak (Int J Comput Inf Sci 11:341–356, 1982 [14]). This theory shows that a description of objects in our environment can be more or less detailed. A description can contain information about various features, and the precision of this information can vary. Such imperfection of objects perception can result from specific limitations independent of the observer. It can also be an effect of the choice of the description which is the most suitable in the context of an assumed goal. On the one hand, the theory allows analysing the consequence of such form of information imperfection; on the other hand, it allows choosing the most suitable description of considered objects.

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Authors and Affiliations

  1. Institute of Computational Intelligence, Częstochowa University of Technology, Częstochowa, Poland

    Robert K. Nowicki

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  1. Robert K. Nowicki
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Correspondence to Robert K. Nowicki .

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Nowicki, R.K. (2019). Rough Set Theory Fundamentals. In: Rough Set–Based Classification Systems. Studies in Computational Intelligence, vol 802. Springer, Cham. https://doi.org/10.1007/978-3-030-03895-3_2

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