Abstract
Granular reasoning is a way of reasoning using granularized possible worlds and lower approximation in rough set theory. However, it can deal only with monotonicity. Then, the extended lower approximation in Ziarko’s variable precision rough set model is introduced to describe nonmonotonic reasoning.
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Murai, T., Sanada, M., Kudo, Y., Kudo, M. (2004). A Note on Ziarko’s Variable Precision Rough Set Model and Nonmonotonic Reasoning. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds) Rough Sets and Current Trends in Computing. RSCTC 2004. Lecture Notes in Computer Science(), vol 3066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25929-9_11
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DOI: https://doi.org/10.1007/978-3-540-25929-9_11
Publisher Name: Springer, Berlin, Heidelberg
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