• DocumentCode
    3304041
  • Title

    Water quality evaluation by the fuzzy comprehensive evaluation based on EW method

  • Author

    Zhenxiang Xing ; Qiang Fu ; Dong Liu

  • Author_Institution
    Dept. of Water Conservancy & Archit., Northeast Agric. Univ., Harbin, China
  • Volume
    1
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    476
  • Lastpage
    479
  • Abstract
    Water quality assessment is one of the important means of environmental management. Using water quality evaluation, the water quality and its difference in different areas can be clearly known and the changing trends of water quality in different periods would be also got. Due to natural fuzziness in the water quality and the difference of influence on water quality of each evaluation index, the water quality evaluation may be regarded as a fuzzy problem. A fuzzy comprehensive evaluation model based on entropy weight method (FCE-EW) was built to assess the actual state of underground water quality in this paper. In the FCE-EW, an influence weight of each water quality indictor can be calculated through mining information of the observed underground water samples with the entropy weight method, and the ambiguity of water quality can considered in the fuzzy comprehensive evaluation. The calculation results of case study showed, compared to that of RAGABP and PPC, the evaluation results of underground water by FCE-EW were more objective. So the FCE-EW can be used as a good method to assess water quality in practice.
  • Keywords
    environmental management; fuzzy set theory; groundwater; water quality; EW method; entropy weight method; environmental management; fuzzy comprehensive evaluation; information mining; natural fuzziness; underground water quality assessment; Educational institutions; Entropy; Indexes; Quality assessment; Water conservation; Water pollution; Water resources; index weight; the entropy weight method; the fuzzy comprehensive evaluation; water quality evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6019494
  • Filename
    6019494