• DocumentCode
    1230883
  • Title

    Stability analysis of regional and national voting schemes by a continuous model

  • Author

    Chen, Liang ; Tokuda, Naoyuki

  • Author_Institution
    Math & Comput. Sci. Program, British Columbia Univ., Vancouver, BC, Canada
  • Volume
    15
  • Issue
    4
  • fYear
    2003
  • Firstpage
    1037
  • Lastpage
    1042
  • Abstract
    The previous discrete-model-based stability analysis of regional and national voting has been extended to a continuous-model-based analysis in the simultaneous presence of white and concentrated components of noise, reconfirming the previous conclusion that regional voting with smaller sized regions always demonstrates an improved stability over those with larger sized regions, including the national voting in its limiting case in particular. The conclusion remains valid as long as the weak distribution assumption is valid.
  • Keywords
    decision making; image processing; numerical stability; white noise; concentrated noise components; continuous-model-based analysis; discrete-model-based stability analysis; national voting schemes; regional voting schemes; weak distribution assumption; white noise components; Computer vision; Decision making; Fault tolerance; Game theory; Image recognition; Mathematical model; Nominations and elections; Stability analysis; Testing; Voting;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/TKDE.2003.1209019
  • Filename
    1209019