• DocumentCode
    3625791
  • Title

    Decomposing Preference Relations

  • Author

    Daniel Gomez;Javier Montero;Javier Yanez

  • Author_Institution
    School of Statistics, Complutense University, Madrid, 28040 Spain. phone: +34 91 394 3994
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper we address the problem of inconsistency in preference relations, pointing out the relevance of a meaningful representation in order to help decision maker to capture such inconsistencies. Dimension theory framework, despite its computational complexity, is considered here, pursuing in principle a decomposition of arbitrary preference relations in terms of linear orderings of alternatives. But we shall then stress that consistency should not be necessarily associated to a linear ordering. In this way, alternative decompositions of a preference relation can be proposed to decision maker, allowing an effective search for a useful representation of alternatives in terms of possible criteria. Such decompositions of our preference relations will then become the basis of a future decision aid model, always with the restricted aim of allowing the decision maker a better understanding of the problem. Inconsistencies may be not simply suppressed but understood, since they may contain relevant information.
  • Keywords
    "Decision making","Mathematics","Computational complexity","Stress","Mathematical analysis","Multidimensional systems","Fuzzy sets","Statistics","Context modeling","Legged locomotion"
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
  • ISSN
    1098-7584
  • Print_ISBN
    1-4244-1209-9
  • Type

    conf

  • DOI
    10.1109/FUZZY.2007.4295546
  • Filename
    4295546