DocumentCode
3385850
Title
Formulation of Flood Disaster Classification Standards Based on Fuzzy Clustering Iterative Model and Chaotic Differential Evolution Algorithm
Author
Liao, Li ; Zhou, Jianzhong ; Liu, Yi ; Song, Lixiang
Author_Institution
Sch. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2012
fDate
27-29 March 2012
Firstpage
1
Lastpage
5
Abstract
In allusion to the problem of formulation of flood disaster classification standards, this paper proposes a method to deal with a fuzzy clustering iterative model and chaotic differential evolution algorithm. After analyzed a flooding example with fuzzy clustering iterative model, the classification standards was developed according to the optimal fuzzy clustering center matrix and the standard was verified by projection pursuit cluster model. Data analysis showed that the classification is reasonable and effective.
Keywords
data analysis; disasters; evolutionary computation; floods; fuzzy set theory; geophysics computing; iterative methods; matrix algebra; pattern classification; pattern clustering; chaotic differential evolution algorithm; data analysis; flood disaster classification standards; fuzzy clustering iterative model; optimal fuzzy clustering center matrix; projection pursuit cluster model; Clustering algorithms; Educational institutions; Equations; Floods; Indexes; Mathematical model; Standards;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location
Shanghai
ISSN
2157-4839
Print_ISBN
978-1-4577-0545-8
Type
conf
DOI
10.1109/APPEEC.2012.6307006
Filename
6307006
Link To Document