Expressive power of knowledge representation systems
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Transactions on rough sets VIII
Distance: A more comprehensible perspective for measures in rough set theory
Knowledge-Based Systems
A classification model: syntax and semantics for classification
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We demonstrate in this paper that the principles of inductive learning can be precisely formulated and hopefully better understood based on the theory of rough sets introduced by Pawlak. We discuss some statistical aspects of evaluating and forming decision rules from examples of expert decisions. We also suggest a method of comparing decision rules inferred by different learning algorithms from the same set of samples.