• DocumentCode
    1715795
  • Title

    Multi-factor degree set pair analysis fuzzy model to evaluate lake water quality

  • Author

    Lin-lin Gong ; Huang, Qiang ; Guang-she Wang ; Zhang Ze-zhong

  • Author_Institution
    Inst. of Water Resources & Hydro-Electr. Eng., Xi´an Univ. of Technol., Xi´an, China
  • Volume
    3
  • fYear
    2011
  • Firstpage
    1923
  • Lastpage
    1926
  • Abstract
    Considering the fuzzy feature in assessment, The set pair analysis has been developed by the concepts of the main same, supper same, assimilation degree and the new grades law. The multi-factors degree set pair analysis fuzzy evaluation model has been established and been applied to evaluate the water quality of lake in West Lake and Qinghai Lake. The results show that new evaluation method is feasible and can effectively evaluate water quality of level.
  • Keywords
    fuzzy systems; hydrological techniques; lakes; water quality; China; Qinghai Lake; West Lake; assimilation degree analysis; fuzzy evaluation model; lake water quality evaluation; multifactor degree set pair analysis; Artificial neural networks; Barium; Lakes; Silicon; Xenon; lake water quality; multi-factors degree fuzzy evaluation; set pair analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-339-1
  • Type

    conf

  • DOI
    10.1109/ISWREP.2011.5893632
  • Filename
    5893632