• DocumentCode
    2337516
  • Title

    Establishment of Air Quality Assessment Model with Weight Based on Extension Theory

  • Author

    Xiaoliang, Zhao ; Qingjie, Qi ; Yang, Zhou ; Jiao, Zheng

  • Author_Institution
    Liaoning Tech. Univ., Fuxin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    18-20 Dec. 2010
  • Firstpage
    663
  • Lastpage
    665
  • Abstract
    Combining extension engineering method with cluster analysis, the classic and limited matter elements were constructed according to air quality standards and main air affecting factors. The logical domain was extended from (0, 1)to (-∞ ,+∞), meanwhile, the quantitative analysis in the classic matter-set which only judged by Yes or No was extended to qualitative analysis, which could show the administrative level relation between the air quality factors better. By computing the weight of feature using AHP, air quality assessment model based on extension theory with varying weight was established. Not only could the new model show the whole level of air quality, but identify the main air pollution facts which exert great impact. The application in FUXIN city showed that the results between extension theory model of air quality in the evaluation ,Shanghai air quality index method and Fuzzy Comprehensive Evaluation method were mainly corresponding to each other.
  • Keywords
    air pollution measurement; environmental science computing; fuzzy logic; geophysics computing; pattern clustering; statistical analysis; China; Fuxin city; Shanghai air quality index method; air quality assessment model; air quality standards; cluster analysis; extension engineering method; extension theory; fuzzy comprehensive evaluation; main air pollution factors; Air Quality Assessment; Environmental Modeling; Extension Theory; Weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2010 International Conference on
  • Conference_Location
    ChangSha
  • Print_ISBN
    978-0-7695-4286-7
  • Type

    conf

  • DOI
    10.1109/ICDMA.2010.376
  • Filename
    5701247