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| Titel |
Fuzzy approach to analysis of flood risk based on variable fuzzy sets and improved information diffusion methods |
| VerfasserIn |
Q. Li |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 13, no. 2 ; Nr. 13, no. 2 (2013-02-08), S.239-249 |
| Datensatznummer |
250017564
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| Publikation (Nr.) |
 copernicus.org/nhess-13-239-2013.pdf |
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| Zusammenfassung |
| The predictive analysis of natural disasters and their
consequences is challenging because of uncertainties and incomplete data.
The present article studies the use of variable fuzzy sets (VFS) and
improved information diffusion method (IIDM) to construct a composite
method. The proposed method aims to integrate multiple factors and
quantification of uncertainties within a consistent system for catastrophic
risk assessment. The fuzzy methodology is proposed in the area of flood
disaster risk assessment to improve probability estimation. The purpose of
the current study is to establish a fuzzy model to evaluate flood risk with
incomplete data sets. The results of the example indicate that the
methodology is effective and practical; thus, it has the potential to
forecast the flood risk in flood risk management. |
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