Abstract
This paper describes a method for performing knowledge base (re)organization in Expert Systems oriented to classification, interpretation and diagnosis problems. The methodology can be applied either to the input descriptions of a set of samples, giving thus a preliminary characterization of groups of samples, or to a set of intermediate level descriptions, supplied by a human expert or previously automatically learned. An example of application is also given.
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© 1987 Springer-Verlag Berlin Heidelberg
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Frediani, S., Saitta, L. (1987). Knowledge base organization in expert systems. In: Bouchon, B., Yager, R.R. (eds) Uncertainty in Knowledge-Based Systems. IPMU 1986. Lecture Notes in Computer Science, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18579-8_21
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DOI: https://doi.org/10.1007/3-540-18579-8_21
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Online ISBN: 978-3-540-48020-4
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