Improvement of combination weighting-fuzzy clustering algorithm and its application in flood risk assessmen
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Abstract:
Given the limitation of the single weighting method in flood risk assessment and the difficulty of the objective division of risk level, an improved combination weighting-fuzzy clustering algorithm is proposed to carry out the research of flood risk assessment. Co nsidering the three aspects of flood risk, sensitivity and vulner ability, the evaluation index system is constructed. The subjective and objective weights are given by the intuitionistic fuzzy analytic hierarchy process and VC-CRITIC method. The optimal combination is calculated by the game-theory-based combination weighting method. Combination weights are used to calculate the flood risk of different evaluation units, and the Gaussian-mixture-model-based fuzzy clustering algorithm is used to classify the regional flood risk levels. T aking the 100-year flood of the mainstream of the Huai River as an example, the application of the flood risk assessment algorithm was carried out in the Cinanfeizuopian flood control protected zone. The results show that the extremely high-risk area and high-risk ar ea which account for 24. 87% of the total area of the protected area submerge. In areas with large water depth, low to pographic index and high socio-economic value, the evaluation results are more reasonable and reliable. The improved combination weighting-fuzzy clustering algorithm may provide flood disaster risk assessment and disaster prevention and mitigation decision-making in flood control protected zones with technical support.
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