Abstract
We present a language for defining new rough relations from given decision tables and we show how to query relations defined in this way. The language provides a uniform formalism for expressing rough data together with background knowledge, and for capturing well-known techniques such as the variable precision rough set model. Its essential feature is the use of quantitative measures, such as support, strength and accuracy.
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CITATION STYLE
Vitória, A., Damásio, C. V., & Małuszyński, J. (2004). Toward rough knowledge bases with quantitative measures. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3066, pp. 153–158). Springer Verlag. https://doi.org/10.1007/978-3-540-25929-9_17
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