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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 15, issue 4 | Copyright
Nat. Hazards Earth Syst. Sci., 15, 863-874, 2015
https://doi.org/10.5194/nhess-15-863-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 20 Apr 2015

Research article | 20 Apr 2015

Group decision-making approach for flood vulnerability identification using the fuzzy VIKOR method

G. Lee1, K. S. Jun2, and E.-S. Chung3 G. Lee et al.
  • 1Department of Water Resources, Graduate School of Water Resources, Sungkyunkwan University, Suwon, South Korea
  • 2Department of Water Resources, Graduate School of Water Resources, Sungkyunkwan University, Suwon, South Korea
  • 3Department of Civil Engineering, Seoul National University of Science and Technology, Seoul, South Korea

Abstract. 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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This study proposes an improved group decision making (GDM) framework that combines VIKOR method with data fuzzification to quantify the spatial flood vulnerability, including multiple criteria. 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.
This study proposes an improved group decision making (GDM) framework that combines VIKOR method...
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