RUSSIAN JOURNAL OF EARTH SCIENCES VOL. 10, ES1001, doi:10.2205/2007ES000278, 2008
Article Map
3. Detection of Anomalies by Fuzzy Logic Methods
- 3.1. Local level: Construction of record rectification.
3.2. Global level: Search for rises in a rectification.
3.3. DRAS: The global level
3.4. FLARS: The global level
4. Fuzzy Comparisons
- 5.1. FCARS: Vertical subdivision (the first variant).
5.2. FCARS: Vertical subdivision (the second variant).
5.3. FCARS: Horizontal subdivision.
5.4. FCARS: anomaly boundaries.
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Citation: Gvishiani, A. D., S. M. Agayan, Sh. R. Bogoutdinov, E. M. Graeva, J. Zlotnicki, and J. Bonnin (2008), Recognition of anomalies from time series by fuzzy logic methods, Russ. J. Earth Sci., 10, ES1001, doi:10.2205/2007ES000278.
Copyright 2008 by the Russian Journal of Earth Sciences
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