• DocumentCode
    2307596
  • Title

    A threshold for majority in the context of aggregating partial order relations

  • Author

    Rademaker, Michaël ; De Baets, Bernard

  • Author_Institution
    Dept. of Appl. Math., Biometrics & Process Control, Ghent Univ., Ghent, Belgium
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We consider a voting problem where voters have expressed their preferences on a single set of objects. These preferences take the shape of strict partial order relations. In order to allow extraction of a unique strict partial order relation corresponding to a social set of preferences, we determine the minimum number of votes a pairwise preference should receive in order to qualify as a social pairwise preference. Transitive closure of the social pairwise preferences will result in the social set of preferences. At the same time, the social set of preferences needs to be cycle-free, and the minimum number of votes should be determined with this constraint in mind. We provide an example application.
  • Keywords
    learning (artificial intelligence); aggregating partial order relations; majority threshold; social pairwise preferences; strict partial order relations; voting problem; Lead; Noise measurement; Pollution; Pollution measurement; Shape; Upper bound; Zinc;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-6919-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2010.5584342
  • Filename
    5584342