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.

URL:
http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2004-89

BibTeX:

@inproceedings{REWERSE-RP-2004-89,
	author = {Aida Vitória and Carlos Viegas Damásio and Jan Ma\luszyński},
	title = {Toward Rough Knowledge Bases with Quantitative Measures},
	booktitle = {Proceedings of Fourth International Conference on Rough Sets and Current Trends in Computing 2004, Uppsala, Sweden (1st June 2004--5th June 2006)},
	year = {2004},
	volume = {3066},
	series = {LNCS},
	pages = {153--158},
	url = {http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2004-89}
}