• DocumentCode
    2823911
  • Title

    A Voting Statistical Method of Group Decision

  • Author

    Yang, Suhong

  • Author_Institution
    Manage. Sch., Hangzhou Dianzi Univ., Hangzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    873
  • Lastpage
    875
  • Abstract
    Two sharp questions are raised from voting paradox: first, the voting result is self-contradictory, and second, the voting result is cyclic. In order to have a more clear analysis of voting paradox, this thesis draws a generating mechanism of the paradox. The voting paradox mechanism figure was depicted and majority rule was revealed to be the cause of the voting paradox by analyzing its reasoning process. Based on this analysis and our NMU proposed model, the voting paradox model was set up and found that three alternative plans had an average poll. Statistical result showed an equal consequence with no plan gaining the upper hand. The non-existence of paradoxical voting cycle proved that "voting paradox" is not paradoxical. Under the ordinal condition, a statistical method to model design, with the basis that social preference order was derived from individual preference order was explored. Applying the VPM method in the statistics of group motives of interrelated elements involved in the withdrawal rate can help enterprises sort out and rank relevant problems in order, guide the enterprises to first solve the major problem with advantageous resources and therefore decrease the turnover rate.
  • Keywords
    politics; statistical analysis; group decision; majority rule; reasoning process; voting paradox model; voting statistical method; Assembly; Conference management; Design methodology; Mathematics; Optimization methods; Statistical analysis; Voting; Group Decision; Statistical Method; Voting Paradox;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.310
  • Filename
    5194082