Induction of Decision Rules and Classification in the Valued Tolerance Approach
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- Stefanowski J., Tsoukiás A. (2002) Induction of Decision Rules and Classification in the Valued Tolerance Approach. In: Alpigini J.J., Peters J.F., Skowron A., Zhong N. (eds) Rough Sets and Current Trends in Computing. RSCTC 2002. Lecture Notes in Computer Science, vol 2475. Springer, Berlin, Heidelberg
The problem of uncertain and/or incomplete information in information tables is addressed in the paper, mainly as far as the induction of classification rules is concerned. Two rule induction algorithms are introduced, discussed and tested on a number of benchmark data sets. Moreover, two different strategies for classifying objects on the basis of induced rules are introduced.
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