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Integrating Hybrid Rule-Based with Case-Based Reasoning

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Advances in Case-Based Reasoning (ECCBR 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2416))

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Abstract

In this paper, we present an approach integrating neurule-based and case-based reasoning. Neurules are a kind of hybrid rules that combine a symbolic (production rules) and a connectionist representation (adaline unit). Each neurule is represented as an adaline unit. One way that the neurules can be produced is from symbolic rules by merging the symbolic rules having the same conclusion. In this way, the number of rules in the rule base is decreased. If the symbolic rules, acting as source knowledge of the neurules, do not cover the full complexities of the domain, accuracy of the produced neurules is affected as well. To improve accuracy, neurules can be integrated with cases representing their exceptions. The integration approach enhances a previous method integrating symbolic rules with cases. The use of neurules instead of symbolic rules improves the efficiency of the inference mechanism and allows for drawing conclusions even if some of the inputs are unknown.

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Author information

Authors and Affiliations

  1. School of Engineering Dept of Computer Engin. & Informatics, University of Patras, 26500, Patras, Hellas, Greece

    Jim Prentzas & Ioannis Hatzilygeroudis

  2. Computer Technology Institute, P.O. Box 1122, 26110, Patras, Hellas, Greece

    Jim Prentzas & Ioannis Hatzilygeroudis

Authors
  1. Jim Prentzas
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  2. Ioannis Hatzilygeroudis
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Editor information

Editors and Affiliations

  1. School of Computing, The Robert Gordon University, St. Andrew Street, Aberdeen, AB25 1HG, Scotland, UK

    Susan Craw

  2. Computing Science Department, University of Aberdeen, Aberdeen, AB24 3UE, Scotland, UK

    Alun Preece

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© 2002 Springer-Verlag Berlin Heidelberg

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Prentzas, J., Hatzilygeroudis, I. (2002). Integrating Hybrid Rule-Based with Case-Based Reasoning. In: Craw, S., Preece, A. (eds) Advances in Case-Based Reasoning. ECCBR 2002. Lecture Notes in Computer Science(), vol 2416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46119-1_25

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  • DOI: https://doi.org/10.1007/3-540-46119-1_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44109-0

  • Online ISBN: 978-3-540-46119-7

  • eBook Packages: Springer Book Archive

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