Flood Disaster Classification Based on Fuzzy Clustering Iterative Model and Modified Differential Evolution Algorithm

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 a...

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Bibliographic Details
Main Authors: Yaoyao He, Jianzhong Zhou, Hui Qin, Li Mo, Pangao Kou
Format: Conference Proceeding
Language:English
Subjects:
Clustering algorithms
Eigenvalues and eigenfunctions
Floods
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Fuzzy systems
Iterative algorithms
Iterative methods
Space technology
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Summary: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.
DOI:10.1109/FSKD.2009.299