Abstract
In different fields data are presented under the form of Property Systems or Attribute Systems (i. e. Information Systems). In order to collect items linked together by attributes or properties we can use a number of techniques whose results range from exact classifications to different kinds of approximations. This range depends on the collecting operators and the characteristics of the Information System at hand. In this paper we discuss how to transform Information Systems in order to apply a well-funded set of operators and to improve their precision.
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Pagliani, P. (2005). Transforming Information Systems. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science(), vol 3641. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11548669_68
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DOI: https://doi.org/10.1007/11548669_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28653-0
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