• DocumentCode
    2314096
  • Title

    Evaluation model of water resources reproducible ability in Yellow River basin based on cloud theory

  • Author

    Qiu Lin ; Chen Xiaonan ; Chen Haitao ; Duan Chunqing

  • Author_Institution
    Dept. of Environ. Eng., North China Inst. of Water Conservancy & Hdroelectric Power, Zhengzhou, China
  • Volume
    8
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    3966
  • Lastpage
    3969
  • Abstract
    Considering the fuzzy and stochastic feature in evaluation, a cloud model for assessing the water resources reproducible ability is suggested. The new evaluation model can not only show the fuzzy feature of grade, but also indicate random attribute of the degree by hyper entropy. Apply the model into assessment of the water resources reproducible ability of 9 regions in Yellow River basin and the result is compared with other traditional methods. The comparison shows that the proposed method is simple, reliable and can reflect the uncertainty in evaluation.
  • Keywords
    fuzzy set theory; water resources; Yellow River basin; cloud theory; fuzzy feature; hyperentropy; water resources reproducible ability model; Biological system modeling; Clouds; Entropy; Generators; Indexes; Rivers; Water resources; Yellow River Basin; cloud model; evaluation methods; water resources reproducible ability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5584790
  • Filename
    5584790