Publikation:

Efficiently Comparing Fuzzy Graphs

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1998

Autor:innen

Huber, Klaus-Peter

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http://nbn-resolving.de/urn:nbn:de:bsz:352-242929
DOI (zitierfähiger Link)
https://doi.org/10.1109/NAFIPS.1998.715566
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1998 Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.98TH8353). IEEE, 1998, pp. 208-211. ISBN 0-7803-4453-7. Available under: doi: 10.1109/NAFIPS.1998.715566

Zusammenfassung

The paper investigates techniques for comparing two fuzzy graphs. Fuzzy graphs are attracting attention because they not only allow easy interpretation but in addition finding regions of interest or tolerating missing attributes can be done computationally in a very efficient manner. This is of great interest in numerous applications such as intelligent data analysis, meta-modeling and others. Two ways of comparing fuzzy graphs are presented.

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004 Informatik

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1998 Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.98TH8353), Pensacola Beach, FL, USA
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ISO 690BERTHOLD, Michael R., Klaus-Peter HUBER, 1998. Efficiently Comparing Fuzzy Graphs. 1998 Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.98TH8353). Pensacola Beach, FL, USA. In: 1998 Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.98TH8353). IEEE, 1998, pp. 208-211. ISBN 0-7803-4453-7. Available under: doi: 10.1109/NAFIPS.1998.715566
BibTex
@inproceedings{Berthold1998Effic-24292,
  year={1998},
  doi={10.1109/NAFIPS.1998.715566},
  title={Efficiently Comparing Fuzzy Graphs},
  isbn={0-7803-4453-7},
  publisher={IEEE},
  booktitle={1998 Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.98TH8353)},
  pages={208--211},
  author={Berthold, Michael R. and Huber, Klaus-Peter}
}
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