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Fuzzy Control pp 177-185 | Cite as

Inference Methods for Partially Redundant Rule Bases

  • Ralf Mikut
  • Jens Jäkel
  • Lutz Gröll
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 6)

Abstract

In this paper, a new inference strategy applicable to redundant or contradictory fuzzy rules is introduced. Both characteristics result mainly from a data-based generation of fuzzy systems where linguistic hedges are used to get an abstract description and where different rules’ premises are overlapping. It is shown, that common fuzzy operators fail in these cases and that the newly introduced switching fuzzy operators solve these problems.

Keywords

Rule Base Linguistic Term Inference Method Positive Small Primary Term 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Ralf Mikut
    • 1
  • Jens Jäkel
    • 1
  • Lutz Gröll
    • 1
  1. 1.Institute for Applied Computer Science (IAI)Forschungszentrum Karlsruhe GmbHKarlsruheGermany

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