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

Gabriel, Thomas R.; Berthold, Michael R.

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

Dateien

GaBe04_mixedFRappendix_ijar.pdfGröße: 96.64 KBDownloads: 322

GaBe04_mixedFRappendix_ijar_corrigendum.pdfGröße: 33.69 KBDownloads: 43

Datum

2004

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

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.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

GABRIEL, 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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