• DocumentCode
    2008404
  • Title

    Developing and using MATLAB-based water supply pipe network intelligent fuzzy safety

  • Author

    Mou, Lu ; Liu Chun na

  • Author_Institution
    Sch. of Municipal & Environ. Eng., Qingdao Technol. Univ., Qingdao, China
  • Volume
    3
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    488
  • Lastpage
    491
  • Abstract
    The water supply pipe network security issue is the safety of drinking water problem of urban residents faced the basic problem, in order to quantitatively study the safety of urban water supply pipe network level. Using the improved AHP built determination matrix and determined the weight of each index, using multi-level fuzzy assessment method to evaluate the water supply pipe network security level. Under the MATLAB7.1 software and combined of these two methods, compiled and established of an intelligent fuzzy safety assessment system. Through the establishment of a good fuzzy safety assessment system evaluated security of Qingdao urban water supply pipes sections, the final assessment results for “safer”, which will provide a reasonable and accurate decision-making for this area water supply network management and maintenance in the future.
  • Keywords
    fuzzy set theory; mathematics computing; matrix algebra; pipes; safety systems; water supply; AHP built determination matrix; MATLAB-based water supply pipe network intelligent fuzzy safety; Qingdao urban water supply pipes; decision making; drinking water problem safety; fuzzy safety assessment system; multilevel fuzzy assessment method; urban residents; water supply network maintenance; water supply network management; Cities and towns; Electron tubes; Lead; MATLAB; Materials; Pipelines; Safety; AHP; fuzzy assessment; safety assessment system; water supply pipe network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7387-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2010.5568345
  • Filename
    5568345