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Data analysis and uncertainty processing

  • Part 5: Uncertainty
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Advanced Topics in Artificial Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 617))

Abstract

This paper deals with uncertainty processing in rule based expert systems and with the application of a data analysis approach to inductive knowledge base construction. The source of author's experience are experiments described in [12]. These experiments were a part of the research project FEL EXPERT [13], results of which have issued into implementation of several versions of the rule based expert system shell. Although the author's research has been oriented towards this particular expert system,the results can be applied to all similar expert systems in general.

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Vladimír Mřrík Olga Štěpánková Rorbert Trappl

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© 1992 Springer-Verlag Berlin Heidelberg

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Kouba, Z. (1992). Data analysis and uncertainty processing. In: Mřrík, V., Štěpánková, O., Trappl, R. (eds) Advanced Topics in Artificial Intelligence. Lecture Notes in Computer Science, vol 617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55681-8_42

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  • DOI: https://doi.org/10.1007/3-540-55681-8_42

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55681-7

  • Online ISBN: 978-3-540-47271-1

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