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| Titel |
Group decision-making approach for flood vulnerability identification using the fuzzy VIKOR method |
| VerfasserIn |
G. Lee, K. S. Jun, E.-S. Chung |
| 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 Sciences ; 15, no. 4 ; Nr. 15, no. 4 (2015-04-20), S.863-874 |
| Datensatznummer |
250119425
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| Publikation (Nr.) |
 copernicus.org/nhess-15-863-2015.pdf |
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| Zusammenfassung |
| This study proposes an improved group decision making (GDM) framework that
combines the VIKOR method with data fuzzification to quantify the spatial flood
vulnerability including multiple criteria. In general, GDM method is an
effective tool for formulating a compromise solution that involves various
decision makers since various stakeholders may have different perspectives
on their flood risk/vulnerability management responses. The GDM approach is
designed to achieve consensus building that reflects the viewpoints of each
participant. The fuzzy VIKOR method was developed to solve multi-criteria
decision making (MCDM) problems with conflicting and noncommensurable
criteria. This comprising method can be used to obtain a nearly ideal
solution according to all established criteria. This approach effectively
can propose some compromising decisions by combining the GDM method and
fuzzy VIKOR method. The spatial flood vulnerability of the southern Han River
using the GDM approach combined with the fuzzy VIKOR method was compared
with the spatial flood vulnerability using general MCDM methods, such as the
fuzzy TOPSIS and classical GDM methods (i.e., Borda, Condorcet, and
Copeland). As a result, the proposed fuzzy GDM approach can reduce the
uncertainty in the data confidence and weight derivation techniques. Thus,
the combination of the GDM approach with the fuzzy VIKOR method can provide
robust prioritization because it actively reflects the opinions of various
groups and considers uncertainty in the input data. |
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