• DocumentCode
    2833215
  • Title

    Application of fuzzy clustering method in analysis correlative of indicators of water resources system

  • Author

    Yu, Xuefeng ; Zhang, Zhongyuan ; Sun, Yingna

  • Author_Institution
    Sch. of Hydraulic & Electr. Eng., Heilongjiang Univ., Harbin, China
  • fYear
    2012
  • fDate
    June 30 2012-July 2 2012
  • Firstpage
    593
  • Lastpage
    595
  • Abstract
    Fuzzy clustering method (FCM) is widely used in recognition partition without evaluation criterion. Generally, FCM obtained the clustering center Matrix (CCM) by using the shortest distance from each indicator to undetermined clustering center, and divided the samples into different classes. It did not pay attention to the correlative of indicators. This paper puts forward the method that how to use FCM to analyze correlative of indicators. In order to achieve the goal as above, the fuzzy clustering iterative model (FCIM), which is proposed by Chen, is introduced in this paper. Two situations are analyzed. One is that the bigger index value the better evaluation result it will be, and the other one is opposite. This case study shows that the satisfactory result is obtained.
  • Keywords
    fuzzy set theory; pattern clustering; water resources; clustering center matrix; correlative of indicators; evaluation criterion; fuzzy clustering iterative model; fuzzy clustering method; recognition partition; water resources system; Cities and towns; Economic indicators; Educational institutions; Eigenvalues and eigenfunctions; Forecasting; Indexes; Water resources; correlative of indicators; fuzzy clustering model; water resource;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science and Engineering (ICSSE), 2012 International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-1-4673-0944-8
  • Electronic_ISBN
    978-1-4673-0943-1
  • Type

    conf

  • DOI
    10.1109/ICSSE.2012.6257256
  • Filename
    6257256