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Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation"

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GaBe04_mixedFRappendix_ijar.pdf
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GaBe04_mixedFRappendix_ijar_corrigendum.pdf
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2004

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International Journal of Approximate Reasoning. 2004, 35, pp. 195-202. Available under: doi: 10.1016/j.ijar.2003.10.004

Zusammenfassung

In Mixed Fuzzy Rule Formation [Int. J. Approx. Reason. 32 (2003) 67] a method to extract mixed fuzzy rules from data was introduced. The underlying algorithm s performance is influenced by the choice of fuzzy t-norm and t-conorm, and a heuristic to avoid conflicts between patterns and rules of different classes throughout training. In the following addendum to [Int. J. Approx. Reason. 32 (2003) 67], we discuss in more depth how these parameters affect the generalization performance of the resulting fuzzy rule models.

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ISO 690GABRIEL, Thomas R., Michael R. BERTHOLD, 2004. Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation". In: International Journal of Approximate Reasoning. 2004, 35, pp. 195-202. Available under: doi: 10.1016/j.ijar.2003.10.004
BibTex
@article{Gabriel2004Influ-5688,
  year={2004},
  doi={10.1016/j.ijar.2003.10.004},
  title={Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation"},
  volume={35},
  journal={International Journal of Approximate Reasoning},
  pages={195--202},
  author={Gabriel, Thomas R. and Berthold, Michael R.}
}
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