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Weighted fuzzy kernel-clustering algorithm with adaptive differential evolution and its application on flood classification

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  • Li Liao
  • Jianzhong Zhou
  • Qiang Zou

Abstract

Flood classification is the fundamental problem of flood risk analysis and plays an important role in flood disaster risk management. Considering the fact that flood classification is a problem of multi-attribute and multi-stage fuzzy synthetically evaluation, this paper mainly proposed the weighted fuzzy kernel-clustering algorithm (WFKCA) with adaptive differential evolution algorithm (ADE) to solve this problem. Firstly, WFKCA is detailed introduced, and then the differential evolution algorithm (DE) is applied for the fuzzy clustering, thus to obtain the better results. Taking into consideration the disadvantage of DE, ADE is present after the introduction of DE. Finally, the combination of WFKCA and ADE is applied for flood classification, and the results demonstrated the methodology is reasonable and reliable, thus provide a new effective approach for flood classification. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Li Liao & Jianzhong Zhou & Qiang Zou, 2013. "Weighted fuzzy kernel-clustering algorithm with adaptive differential evolution and its application on flood classification," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 279-293, October.
    • Handle: RePEc:spr:nathaz:v:69:y:2013:i:1:p:279-293
    DOI: 10.1007/s11069-013-0707-x
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    References listed on IDEAS

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    1. Georgia Kandilioti & Christos Makropoulos, 2012. "Preliminary flood risk assessment: the case of Athens," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(2), pages 441-468, March.
    2. Ju-Liang Jin & Yi-Ming Wei & Le-Le Zou & Li Liu & Juan Fu, 2012. "Risk evaluation of China’s natural disaster systems: an approach based on triangular fuzzy numbers and stochastic simulation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(1), pages 129-139, May.
    3. Dapeng Huang & Renhe Zhang & Zhiguo Huo & Fei Mao & Youhao E & Wei Zheng, 2012. "An assessment of multidimensional flood vulnerability at the provincial scale in China based on the DEA method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1575-1586, November.
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    Cited by:

    1. Qiang Zou & Li Liao & Hui Qin, 2020. "Fast Comprehensive Flood Risk Assessment Based on Game Theory and Cloud Model Under Parallel Computation (P-GT-CM)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1625-1648, March.
    2. Guozhen Wei & Wei Ding & Guohua Liang & Bin He & Jian Wu & Rui Zhang & Huicheng Zhou, 2022. "A New Framework Based on Data-Based Mechanistic Model and Forgetting Mechanism for Flood Forecast," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3591-3607, August.

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