Rule-based systems and pattern recognition
Pattern Recognition Letters
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Bayesian and belief-functions formalisms for evidential reasoning: a conceptual analysis
Readings in uncertain reasoning
Machine Learning
Comparative Performance of Rule Quality Measures in an InductionSystem
Applied Intelligence
Induction of Rules Subject to a Quality Constraint: Probabilistic Inductive Learning
IEEE Transactions on Knowledge and Data Engineering
Hi-index | 0.00 |
Paper deals with the knowledge acquisition process. For the decision support systems type we consider we can get the rules from different sources (experts). Each rule has not logical interpretation, but probabilistic one. Proposed method of the knowledge quality management modifies the probabilities given by expert on the basis of their qualities.