• DocumentCode
    2170110
  • Title

    Comparison Based Group Ranking Outcome for Multiattribute Group Decisions

  • Author

    Chakraborty, Subrata ; Yeh, Chung-Hsing

  • Author_Institution
    Electr. Eng Comput. Sc Inf. Security Sch., QUT, Brisbane, QLD, Australia
  • fYear
    2012
  • fDate
    28-30 March 2012
  • Firstpage
    324
  • Lastpage
    327
  • Abstract
    A novel group consensus methodology for group ranking problems is presented in this paper. The method considers all the possible ranking outcomes for a given set of decision alternatives. Decision makers are given the freedom to provide their own ranking outcomes using their chosen ranking methods. Spearman´s rank correlation is then used to calculate the overall similarity for each of the possible ranking outcomes. The overall similarity for each ranking outcome in the solution space is calculated using its similarities to the ranking outcomes given by the decision makers. The ranking outcome in the solution space which is most similar to the decision makers ranking outcomes is the most preferred one by the group.
  • Keywords
    decision making; operations research; Spearman rank correlation; group ranking problems; multiattribute group decisions; group consensus; group decision; multiattribute decision making; rank similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2012 UKSim 14th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4673-1366-7
  • Type

    conf

  • DOI
    10.1109/UKSim.2012.53
  • Filename
    6205468