Abstract
This paper introduces a new approach to induced rules for quantitative evaluation, which can be viewed as a statistical extention of rough set methods. For this extension, chi-square distribution and F-distribution play an important role in statistical evaluation.
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© 2001 Springer-Verlag Berlin Heidelberg
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Tsumoto, S. (2001). An Approach to Statistical Extention of Rough Set Rule Induction. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_44
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DOI: https://doi.org/10.1007/3-540-45554-X_44
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