C4.5: programs for machine learning
C4.5: programs for machine learning
Variable precision rough set model
Journal of Computer and System Sciences
From rough set theory to evidence theory
Advances in the Dempster-Shafer theory of evidence
Information Sciences: an International Journal
Information Sciences—Informatics and Computer Science: An International Journal
Readings in Machine Learning
Modelling Medical Diagnostic Rules Based on Rough Sets
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
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One of the most important problems on rule induction methods is that extracted rules partially represent information on experts' decision processes, which makes rule interpretation by domain experts difficult. In order to solve this problem, the characteristics of medical reasoning is discussed, and positive and negative rules are introduced which model medical experts' rules. Then, for induction of positive and negative rules, two search algorithms are provided. The proposed rule induction method was evaluated on medical databases, the experimental results of which show that induced rules correctly represented experts' knowledge and several interesting patterns were discovered.