Probabilistic Granule Analysis

Authors:
Ivo Düntsch;Günther Gediga
Affiliations:
Department of Computer Science, Brock University, Ontario, Canada L2S 3A1;Department of Computer Science, Brock University, Ontario, Canada L2S 3A1
Venue:
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Year:
2008

Citing 6
Cited 0

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Abstract

We present a semi---parametric approach to evaluate the reliability of rules obtained from a rough set information system by replacing strict determinacy by predicting a random variable which is a mixture of latent probabilities obtained from repeated measurements of the decision variable. It is demonstrated that the algorithm may be successfully used for unsupervised learning.