Efficiently Comparing Fuzzy Graphs

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Date
1998
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Huber, Klaus-Peter
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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
Abstract
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 Computer Science
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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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Cite This
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, 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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