Abstract
The rough set theory, based on the conventional indiscernibility relation, is not useful for analysing incomplete information. We introduce two generalizations of this theory. The first proposal is based on non symmetric similarity relations, while the second one uses valued tolerance relation. Both approaches provide more informative results than the previously known approach employing simple tolerance relation.
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CITATION STYLE
Stefanowski, J., & Tsoukiàs, A. (1999). On the extension of rough sets under incomplete information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1711, pp. 73–82). Springer Verlag. https://doi.org/10.1007/978-3-540-48061-7_11
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