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Building Fuzzy Graphs from Examples

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1996

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Huber, Klaus-Peter

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Proceedings of IEEE 5th International Fuzzy Systems. IEEE, 1996, pp. 608-613. ISBN 0-7803-3645-3. Available under: doi: 10.1109/FUZZY.1996.551809

Zusammenfassung

Function approximation based on example data has gained considerable interest in the past. The automatic extraction of a fuzzy rule base has proven to be a powerful tool to build approximators that allow an interpretation of the underlying model. In contrast to most known systems which find a set of rules based on a global grid that covers the whole input space, a different approach is presented in this paper. A constructive algorithm finds a set of local individual rules forming a fuzzy graph. The proposed algorithm builds the fuzzy graph from scratch, without the need to control additional parameters and shows promising performance and robustness against noise on an artificial dataset.

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004 Informatik

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IEEE 5th International Fuzzy Systems, New Orleans, LA, USA
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ISO 690BERTHOLD, Michael R., Klaus-Peter HUBER, 1996. Building Fuzzy Graphs from Examples. IEEE 5th International Fuzzy Systems. New Orleans, LA, USA. In: Proceedings of IEEE 5th International Fuzzy Systems. IEEE, 1996, pp. 608-613. ISBN 0-7803-3645-3. Available under: doi: 10.1109/FUZZY.1996.551809
BibTex
@inproceedings{Berthold1996Build-24203,
  year={1996},
  doi={10.1109/FUZZY.1996.551809},
  title={Building Fuzzy Graphs from Examples},
  isbn={0-7803-3645-3},
  publisher={IEEE},
  booktitle={Proceedings of IEEE 5th International Fuzzy Systems},
  pages={608--613},
  author={Berthold, Michael R. and Huber, Klaus-Peter}
}
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