Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Valued Tolerance and Decision Rules
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
On the Extension of Rough Sets under Incomplete Information
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Adapted variable precision rough set approach for EEG analysis
Artificial Intelligence in Medicine
Probabilistic similarity-based reduct
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
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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.