• 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