Abstract
Rough sets based rule generation from tables with uncertain numerical values is presented. We have already focused on two topics, i.e., rule generation from tables with non-deterministic information and rule generation from tables with numerical values. For non-deterministic information, we have extended the typical rough sets to rough sets based on uncertain information. For numerical values, we have defined numerical patterns with two symbols ’@’ and ’#’, and have introduced the equivalence classes depending upon the figures. This paper employs intervals for uncertain numerical values, as well as rules with intervals. By using a real example, we show that it is possible to handle such rules according to the same method as the one already developed for non-deterministic information.
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Sakai, H., Nakata, M., Ślȩzak, D. (2010). Toward Rough Sets Based Rule Generation from Tables with Uncertain Numerical Values. In: Huynh, VN., Nakamori, Y., Lawry, J., Inuiguchi, M. (eds) Integrated Uncertainty Management and Applications. Advances in Intelligent and Soft Computing, vol 68. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11960-6_37
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DOI: https://doi.org/10.1007/978-3-642-11960-6_37
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