• DocumentCode
    1681067
  • Title

    A Research of Emergency Classification Based Fuzzy AHP and Cluster Analysis

  • Author

    Shasha, Song ; Feng, Dai ; Jingxu, Liu ; Baolu, Wei

  • Author_Institution
    Inst. of Inf. Eng., Inf. Eng. Univ., Zhengzhou, China
  • fYear
    2011
  • Firstpage
    646
  • Lastpage
    649
  • Abstract
    The traditional emergency classification is lack of dynamic analysis in emergency rescue and disaster incident management, it is difficult to accurately quantify the classification and providing practical guidance and scientific issues. In this paper, Fuzzy AHP and cluster analysis of the classification is researched, it can effectively integrate expert consensus, it can meet emergency requirements and reflect the dynamic classification in the emergencies.
  • Keywords
    disasters; emergency services; fuzzy set theory; pattern classification; pattern clustering; cluster analysis; disaster incident management; dynamic analysis; emergency classification research; emergency rescue; fuzzy AHP; Corporate acquisitions; Decision making; Fires; Gravity; Indexes; Risk management; Emergency; classification; cluster analysis; fuzzy analytic hierarchy process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computer Science and Education (ICFCSE), 2011 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4577-1562-4
  • Type

    conf

  • DOI
    10.1109/ICFCSE.2011.161
  • Filename
    6041794