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Rough Membership and Bayesian Confirmation Measures for Parameterized Rough Sets
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Methodologies for Knowledge Discovery and Data Mining: Third Pacific-Asia Conference, PAKDD'99, Beijing, China, April 26-28, 1999, Proceedings
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An Analysis of Quantitative Measures Associated with Rules
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Rough Sets, Fuzzy Sets and Knowledge Discovery
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Variable Precision Rough Sets with Asymmetric Bounds
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Knowledge Discovery and Measures of Interest
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Variable precision rough set model
inferredcites →https://doi.org/10.1016/j.engappai.2004.04.008openalex-snapshot
Can Bayesian confirmation measures be useful for rough set decision rules?
inferredcites →https://doi.org/10.1016/s0377-2217(01)00029-7openalex-snapshot
Rough sets, decision algorithms and Bayes' theorem
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Symmetries and Asymmetries in Evidential Support
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The Logic of Scientific Discovery
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Stochastic Approach to Rough Set Theory
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