Abstract
The article investigates probabilistic dependencies in hierarchies of probabilistic decision tables learned from data. They are expressed by the probabilistic generalization of the Pawlak’s measure of the dependency between attributes and the certainty gain measure.
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Ziarko, W. (2006). Partition Dependencies in Hierarchies of Probabilistic Decision Tables. In: Wang, GY., Peters, J.F., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2006. Lecture Notes in Computer Science(), vol 4062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11795131_7
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DOI: https://doi.org/10.1007/11795131_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36297-5
Online ISBN: 978-3-540-36299-9
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