• DocumentCode
    2404583
  • Title

    Study on Analyzing Questionnaire Survey by Monte Carlo Simulation

  • Author

    Shijie, Jiang ; Yi, Peng ; Weisheng, Lv ; Liyin, Shen

  • Author_Institution
    Hong Kong Polytech. Univ., Hong Kong, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    1452
  • Lastpage
    1455
  • Abstract
    Traditional questionnaire usually takes likert scale and treats the data as discrete and controllable. It overlooks the different opinions chosen in the same scale, moreover does not consider the possibility distribution trend. Monte Carlo Simulation (MCS) is used to explore into the possible trend based on the distribution from the questionnaire. The difference of the results based on original questionnaire and MCS show the trying is beneficial and interesting. However, for this method, the questionnaire survey should be scientifically random. Moreover, foundational research should be conducted to test the validity.
  • Keywords
    Monte Carlo methods; data analysis; Monte Carlo simulation; possibility distribution trend; questionnaire survey analysis; Biological system modeling; Computational modeling; Fuzzy set theory; Mathematical model; Monte Carlo methods; Probability distribution; Monte Carlo Simulation (MCS); fuzzy set theory; questionnaire survey; ranking by mean;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.369
  • Filename
    5591085