• DocumentCode
    2751476
  • Title

    Optimization Model for Locating City Fire Stations Based on Fuzzy Matter-Element Analysis

  • Author

    Xin, Jing ; Liu, Liwen ; Zhang, Guangjun ; Li, Wei ; Li, Xiangxin

  • Author_Institution
    Dept. of Fire Command, Chinese People´´s Armed Police Force Acad., Langfang, China
  • Volume
    4
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    346
  • Lastpage
    350
  • Abstract
    In view of the defects of location model for city fire stations with a simple evaluation index, an optimization model for locating city fire stations based on fuzzy matter-element analysis and Euclid approach degree is proposed in the paper. The model considers multiple evaluation indexes that incorporate both travel times and travel distances from stations to demand sites. In addition, the model considers other cost-related indexes. The weights of evaluation indexes are determined by information entropy and the scoring by experts, which could not only make full use of the inherent information of the indexes adequately, but reduce experts´ subjective assumption effectively. The result of the model indicates that the fuzzy matter-element analysis model seems to be an ideal technique that is applicable to the location problem of city fire station.
  • Keywords
    entropy; facility location; fuzzy set theory; optimisation; Euclid approach degree; city fire stations; cost-related indexes; fuzzy matter-element analysis; information entropy; location model; multiple evaluation indexes; optimization model; simple evaluation index; Cities and towns; Cost function; Decision making; Environmental economics; Fires; Fuzzy systems; Information entropy; Protection; Quantization; Safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.915
  • Filename
    5359178