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Rule Simplification

  • Eyal Kolman
  • Michael Margaliot
Chapter
  • 510 Downloads
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 234)

Abstract

The interpretability of FRBs might be hampered by the existence of a large number of rules or complicated ones. Thus, any attempt to use the FARB–ANN equivalence for knowledge extraction from large-scale networks must include a systematic approach for rule reduction and simplification.

Simplification procedures usually lead to a more interpretable rule-base with the cost of a degradation in the FRB performance. This tradeoff between complexity and interpretability can be viewed as one manifestation of Zadeh’s principle of incompatibility (see Section 1.2).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Eyal Kolman
    • Michael Margaliot

      There are no affiliations available

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