• DocumentCode
    549464
  • Title

    A fuzzy-based advisor for elections and the creation of political communities

  • Author

    Terán, Luis

  • Author_Institution
    Inf. Syst. Res. Group, Univ. of Fribourg, Fribourg, Switzerland
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    180
  • Lastpage
    185
  • Abstract
    The rapid increase of information on the Internet is currently a key issue when one is looking for relevant information. At the same time, in the political sector, the amount of available information about candidates and political parties is also increasing. This is becoming a significant problem for voters when they face election processes that require them to select their representatives from a big list of candidates since, in many cases, the candidates are relatively unknown to their constituents. Additionally, the creation of political communities interested in addressing political issues is a hurdle yet to overcome. In this work, an advisor for elections and creation of political communities based on fuzzy logic is presented. The recommendation engine works with a modified fuzzy c-means algorithm and the Sammon mapping technique used for visualization of recommendations. First results demonstrate the potential for building political communities and the stimulation of civic participation.
  • Keywords
    data visualisation; fuzzy logic; government data processing; recommender systems; Internet; Sammon mapping technique; civic participation; election advisor; fuzzy c-means algorithm; fuzzy logic; fuzzy-based advisor; political community; recommendation engine; recommendation visualization; Algorithm design and analysis; Clustering algorithms; Communities; Engines; Fuzzy logic; Nominations and elections; Recommender systems; community building; eCommunity; eDemocracy; eParticipation; fuzzy clustering; recommender system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Society (i-Society), 2011 International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-61284-148-9
  • Type

    conf

  • Filename
    5978534