Abstract
We discuss an uncertainty representation based on rough membership functions in inconsistent decision tables. We propose a reasoning model for dealing with objects having probability distributions instead of concrete values on attributes. We prove discernibility characteristics for minimal boolean implicants in inconsistent decision tables with indeterministically defined objects.
This work was supported by KBN Research Grant No. 8T11C01011 and ESPRIT project CRIT-2 No. 20288 of European Union.
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Ślezak, D. (1998). Searching for Frequential Reducts in Decision Tables with Uncertain Objects. In: Polkowski, L., Skowron, A. (eds) Rough Sets and Current Trends in Computing. RSCTC 1998. Lecture Notes in Computer Science(), vol 1424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69115-4_8
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DOI: https://doi.org/10.1007/3-540-69115-4_8
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