Flood disaster classification based on fuzzy clustering iterative model and modified differential evolution algorithm

Authors:
Yaoyao He;Jianzhong Zhou;Hui Qin;Li Mo;Pangao Kou
Affiliations:
School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, China;School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, China;School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, China;School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, China;School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Year:
2009

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Abstract

In allusion to the problem of flood disaster classification, this paper proposes a modified differential evolution algorithm for dealing with a fuzzy clustering iterative model. By using variable index weight vector and penalty function, the objective function can be solved more perfectly. The new algorithm has been examined and tested on a practical flood disaster. The results show that the obtained fuzzy clustering matrix is much close to clustering center and the flood disaster classification is more clear in comparison with traditional fuzzy clustering algorithm.