Abstract
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.
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References
Bruha I., Quality of Decision Rules: Definition and Classification Schemes for Multiple Rules [in] Nakhaeizadeh G., Taylor C.C. [eds], Machine Learning and Statistic, John Wiley and Sons, 1997.
Dean P., Famili A., Comparative Performance of Rule Quality Measures in an Inductive Systems, Applied Intelligence, no 7, 1997.
Devijver P. A., Kittler J., Pattern Recognition: A Statistical Approach, Prentice Hall, London 1982.
Duda R.O., Hart P.E., Pattern Classification and Scene Analysis, John Wiley and Sons, New York, 1973
Giakoumakis E., Papakonstantiou G., Skordalakis E., Rule-based systems and pattern recognition, Pattern Recognition Letters, No 5, 1987.
Gur-Ali O., Wallance W.A., Induction of rules subject to a quality constraint: probabilistic inductive learning, IEEE Transaction on Knowledge and Data Engeineering, vol. 5, no 3, 1993.
Mitchell T., Machine Learning, McGraw Hill, 1997.
Pearl J., Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann Pub. Inc., San Francisco, California, 1991.
Pearl J., Bayesian and Belief-Functions Formalisms for Evidential Reasoning: A Conceptual Analysis [in] Schafer G., Pearl J., [red.] Readings in Uncertain Reasoning, Morgan Kaufmann Publ., Inc., San Mateo, California.
Sachs L., Applied Statistic. A Handbook of Techniques, Springer-Verlag, New York Berlin Heideberg Tokyo, 1984.
Wozniak M., Blinowska A., Unification of the information as the way of recognition the controlled Markov chains, Proc. of the Congress on Information Processing and Management of Uncertainty in Knowledge Based Systems, Granada, Spain 1996.
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Wozniak, M. (2003). Proposition of the Quality Measure for the Probabilistic Decision Support System. In: Chung, P.W.H., Hinde, C., Ali, M. (eds) Developments in Applied Artificial Intelligence. IEA/AIE 2003. Lecture Notes in Computer Science(), vol 2718. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45034-3_69
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DOI: https://doi.org/10.1007/3-540-45034-3_69
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