• DocumentCode
    2788931
  • Title

    The application of fuzzy comprehensive evaluation on the water quality of Changjiang River

  • Author

    Qiao, Jun-jian ; Zhen, Xin-wu ; Zhang, Yan-rui

  • Author_Institution
    Coll. of Sci., Hebei Agric. Univ., Baoding
  • Volume
    3
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    1467
  • Lastpage
    1473
  • Abstract
    This article, using the fundamental theory of fuzzy mathematics and basic methods, applies the concepts of subordinate function and subordinate degree of fuzzy mathematics into the water quality evaluation of Changjiang River. By means of establishing several fuzzy collections such as volumes of factors, volumes of evaluation, subordinate function and weight which consist of several polluted evaluated factors, and decide the weight according to the influential differences between every polluted factor and the water quality. By combining the principle of maximum subordinate degree and weighting average principle, we apply the fuzzy comprehensive evaluation to the water quality of Changjiang River. We decided the rank of the water quality, and reach several water pollution features and regularities.
  • Keywords
    fuzzy set theory; river pollution; Changjiang River; fuzzy comprehensive evaluation; fuzzy mathematics; maximum subordinate degree; polluted evaluated factors; subordinate function concepts; water quality; weighting average principle; Asia; Cybernetics; Educational institutions; Machine learning; Mathematics; Protection; Rivers; Water conservation; Water pollution; Water resources; Fuzzy Mathematics; factor; subordinate degree; the Water Quality of Changjiang River;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620637
  • Filename
    4620637