• DocumentCode
    509476
  • Title

    A Fuzzy Approach to Building Fire Risk Assessment and Analysis

  • Author

    Shi, Huawang

  • Author_Institution
    Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    606
  • Lastpage
    609
  • Abstract
    Building fire risk evaluation is the base of building fire risk management. Carrying out building fire risk evaluation can effectively prevent and control the building fire accident occurring. In this study, a fuzzy approach to building fire risk assessment methodology using the fuzzy comprehensive evaluation (FCE) and synthetic weights provided to assist decision-makers in determining the proper weights of building fire risk factors. Firstly, the factors influencing building fire risk were discussed based on fault analysis tree (FAT) and indices of evaluating building fire risk were established. Then, the building fire risk is evaluated using fuzzy mathematics tool and the method determining the synthetic weights of indexes including both subjective favoritism and objective information qualitative knowledge and quantitative data to be integrated were given. Finally, an application case for this method to fire risk assessment was provided.
  • Keywords
    building; fires; fuzzy set theory; risk analysis; safety; trees (mathematics); building fire risk assessment; building fire risk evaluation; building fire risk management; fault analysis tree; fire risk factor; fuzzy comprehensive evaluation; fuzzy mathematics tool; synthetic weight; Accidents; Buildings; Fires; Fuzzy systems; Information analysis; Mathematics; Risk analysis; Risk management; Safety; Security; Fault Analysis Tree (FAT); fire risk; fuzzy comprehensive evaluation (FCE); information entropy; synthetic weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.73
  • Filename
    5370511