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On missing values and fuzzy rules

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1996

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Huber, Klaus-Peter

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ZIMMERMANN, Hans-Jürgen, ed.. Proceedings of the Fourth European Congress on Intelligent Techniques and Soft Computing : Aachen, Germany, September 2 - 5, 1996. 1. Aachen: Mainz, 1996, pp. 700-702. ISBN 3-89653-187-5

Zusammenfassung

Numerous learning tasks involve incomplete or conflicting attributes. Most algorithms that automatically find a set of fuzzy rules are not well suited to tolerate missing values in the input vector, and the usual technique to substitute missing values by their mean or another constant value can be quite harmful. In this paper a technique is proposed to tolerate missing values during the classification process as well as during training. This is achieved by using the evolving model to predict the most possible value for the missing attribute, resulting in a "best guess" for the feature vector which is then used to further adjust (or train) the set of fuzzy rules.

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Intelligent Techniques and Soft Computing, 2. Sept. 1996 - 5. Sept. 1996, Aachen, Germany
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ISO 690BERTHOLD, Michael R., Klaus-Peter HUBER, 1996. On missing values and fuzzy rules. Intelligent Techniques and Soft Computing. Aachen, Germany, 2. Sept. 1996 - 5. Sept. 1996. In: ZIMMERMANN, Hans-Jürgen, ed.. Proceedings of the Fourth European Congress on Intelligent Techniques and Soft Computing : Aachen, Germany, September 2 - 5, 1996. 1. Aachen: Mainz, 1996, pp. 700-702. ISBN 3-89653-187-5
BibTex
@inproceedings{Berthold1996missi-24205,
  year={1996},
  title={On missing values and fuzzy rules},
  isbn={3-89653-187-5},
  publisher={Mainz},
  address={Aachen},
  booktitle={Proceedings of the Fourth European Congress on Intelligent Techniques and Soft Computing : Aachen, Germany, September 2 - 5, 1996},
  pages={700--702},
  editor={Zimmermann, Hans-Jürgen},
  author={Berthold, Michael R. and Huber, Klaus-Peter}
}
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