• DocumentCode
    1791193
  • Title

    The Research of Evaluation for the Emergency Capability of University Based on Catastrophe Theory

  • Author

    Hong-xia Li ; Jing Wang

  • Author_Institution
    Xi´an Univ. of Sci. & Technol., Xi´an, China
  • fYear
    2014
  • fDate
    25-26 Oct. 2014
  • Firstpage
    821
  • Lastpage
    831
  • Abstract
    In order to understand the current level of university emergency capability, first introduced the subjective and objective environment faced by our universities, the content and current situation of university emergency management, the emergency capability assessment in universities. Secondly introduced the principle and method of applying catastrophe theory to assess emergency capability. Finally construction the evaluation index system of university emergency capability, and use of catastrophe theory to a university in Xi´an for an application example, analyzed the related aspects of emergency preparedness, crisis handling and emergency recovery abilities which were represent the university emergency capabilities, the calculation results accorded with the actual situation, and showed that applying catastrophe theory to assess university emergency capability has great advantages.
  • Keywords
    catastrophe theory; educational institutions; emergency management; fuzzy set theory; Xi´an; catastrophe theory; crisis handling; emergency capability assessment; emergency preparedness; emergency recovery abilities; evaluation index system; fuzzy set theory; objective environment; subjective environment; university emergency capability evaluation research; university emergency management; Educational institutions; Emergency services; Government; Indexes; Psychology; Catastrophe Theory; Fuzzy Number; University Emergency Capability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-6635-6
  • Type

    conf

  • DOI
    10.1109/ICICTA.2014.198
  • Filename
    7003661