• DocumentCode
    2779815
  • Title

    The Situation Analysis of the Network Public Opinion Based on the Variable-Weighted Choquet Fuzzy Integral

  • Author

    Su, Yan ; Liu, Yujun ; Xu, Wenfeng ; Wang, Jun

  • Author_Institution
    Dept. of Inf. Eng., Acad. of Armored Force Eng., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    219
  • Lastpage
    225
  • Abstract
    In order to more accurately judge the influence the attributes of the public network opinion play on the situation of the public network opinion, this paper puts forward a method of situation analysis of the network public opinion which is based on the variable-weighted Choquet fuzzy integral. Firstly, the Shapely values of the attributes are adjusted in line with the variable weight theory. Then, the fuzzy measure is obtained by optimizing the maximum value of the Marchal entropy. Finally, the Choquet fuzzy integral is adopted to integrate the attributes´ evaluating values of the concept, which leads to the judgment of the situation of the public network opinion. According to the results of the experiments, this method is feasible and close to the real public network opinion when the incident happened. It can be used to get the real picture of the public network opinion in different phases which can serve as the input for the follow-on rating of the threat level of the public network opinion.
  • Keywords
    entropy; fuzzy set theory; integral equations; social sciences; Marchal entropy; fuzzy measure; maximum value optimization; network public opinion; situation analysis; variable weight theory; variable-weighted Choquet fuzzy integral; Analytical models; Correlation; Decision making; Entropy; Force; Vectors; Weight measurement; Fuzzy Integral; Network Public Opinion; Situation Analysis; Variable Weights;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.379
  • Filename
    6113396