Some Heuristics for Default Knowledge Discovery

Authors:
Tor-Kristian Jenssen;Henryk Jan Komorowski;Aleksander Øhrn
Affiliations:
-;-;-
Venue:
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Year:
1998

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Abstract

In this paper discovery of default knowledge as proposed by Mollestad [7], [8], [9], [10] is further investigated. Mollestad's algorithm, as described in [9], is refined and extended in several ways. In particular, new heuristics guiding the search for default decision rules are proposed and evaluated. The results so far have been encouraging when the (modified) framework is compared to other rough set methods.