Abstract
One of the main element of expert systems and decision support systems is the system’s knowledge base (KB). In the process formation it is necessary to obtaih a large volume of expert information. Usually this information contains the expert’s estimation of a number of different situations (states) in the problem field under consideration [1]. The process of expert’s knowledge elicitation is labour intensive as far as knowledge engineers and experts are concerned. That is why the development of effective methods for KB construction allowing to decrease the number of situations estimated by experts on the base of certain assumptions about the structure of a problem field is an urgent task.
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References
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© 1989 Springer-Verlag Berlin Heidelberg
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Larichev, O.I., Mechitov, A.I., Moshkovich, E.M., Furems, E.M. (1989). Expert Knowledge Acquisition System. In: Lockett, A.G., Islei, G. (eds) Improving Decision Making in Organisations. Lecture Notes in Economics and Mathematical Systems, vol 335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-49298-3_48
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DOI: https://doi.org/10.1007/978-3-642-49298-3_48
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