• DocumentCode
    524820
  • Title

    Study on disaster reconstruction project performance evaluation based on fuzzy analytic network process

  • Author

    Sun, Chunling ; Bi, Ran

  • Author_Institution
    Dept. of Manage., Tianjin Univ. of Technol., Tianjin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    5-7 May 2010
  • Firstpage
    338
  • Lastpage
    341
  • Abstract
    Wenchuan earthquake disaster reconstruction planning is a typical government investment project, the performance evaluation of which is conducive to improve the management ability of government of managing disaster reconstruction projects and enriches the finance expenditure decision-making reliance of disaster reconstruction projects. There may be dependence and feedback among factors of disaster reconstruction performance evaluation. In this study, analytic network process (ANP) was adopted to model a multi-criteria disaster reconstruction performance evaluation indices system with dependence and feedback. Due to complexity in evaluating disaster reconstruction performance, it is difficult for decision-makers to provide exact numerical values for the factors. Therefore, a fuzzy ANP method was taken to calculate the weights of each factor of the model, which can solve problems in an uncertain condition effectively.
  • Keywords
    computational complexity; decision making; disasters; earthquakes; fuzzy set theory; government; performance evaluation; ANP; analytic network process; computational complexity; decision-making reliance; disaster reconstruction project performance evaluation; finance expenditure; fuzzy analytic network process; government investment project; Decision making; Disaster management; Earthquakes; Feedback; Finance; Financial management; Government; Investments; Performance analysis; Project management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication Control and Automation (3CA), 2010 International Symposium on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4244-5565-2
  • Type

    conf

  • DOI
    10.1109/3CA.2010.5533813
  • Filename
    5533813