Abstract
The article presents the basic notions of the variable precision rough set model (VPRSM). The main subject of the article is the evaluation of VPRSM set approximations and corresponding probabilistic decision tables using a number of proposed probabilistic measures.
Supported by research grant from the Natural Sciences and Engineering Research Council of Canada.
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Ziarko, W. (2003). Evaluation of Probabilistic Decision Tables. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_24
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DOI: https://doi.org/10.1007/3-540-39205-X_24
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