• DocumentCode
    1863298
  • Title

    Fuzzy synthetic evaluation of atmospheric environment quality based on entropy weight

  • Author

    Jinting, Yang ; Jingxiao, Sun ; Yinghui, Liu

  • Author_Institution
    Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan, China
  • Volume
    4
  • fYear
    2011
  • fDate
    13-15 May 2011
  • Firstpage
    363
  • Lastpage
    366
  • Abstract
    Considering the difficulties of calculation and the defects that the relationship among evaluation objects are ignored when using Fuzzy synthetic Evaluation Method to determine weights to the multi-factors, this paper put forward a new idea of determining weights to the Multi-objective evaluation factors using information entropy. The differences of determining weights using Entropy method and the method of over standard with weight was compared in the weight calculation of evaluating indicators by using the fuzzy mathematics through using the atmosphere monitoring data of 10 monitoring points in the city of Changchun. The results showed that when the evaluation involves a number of evaluation objects using this method was very convenient for fuzzy synthetic evaluation. Only one calculation was enough and it need not to calculate every monitoring point. This method predigested the fuzzy synthetic evaluation process greatly and the evaluation results were objective and reasonable.
  • Keywords
    entropy; environmental management; environmental monitoring (geophysics); fuzzy set theory; atmosphere monitoring data; atmospheric environment quality; entropy weight; fuzzy mathematics; fuzzy synthetic evaluation; information entropy; multiobjective evaluation factor; Cities and towns; Educational institutions; Entropy; Indexes; Information entropy; Monitoring; Standards; Atmospheric environment quality; Evaluation; Fuzzy; Information entropy; Weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Management and Electronic Information (BMEI), 2011 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-61284-108-3
  • Type

    conf

  • DOI
    10.1109/ICBMEI.2011.5920987
  • Filename
    5920987