• DocumentCode
    3323188
  • Title

    Some linear programming models for obtaining the priority vector of interval multiplicative preference relations

  • Author

    Du Jun-hui ; Wei Fa-jie

  • Author_Institution
    Sch. of Econ. & Manage., Beihang Univ., Beijing
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    199
  • Lastpage
    204
  • Abstract
    Interval multiplicative preference relation is very useful in expressing decision makerpsilas preferences on alternatives under uncertain preference information. How to derive priorities from a interval multiplicative preference relation is an interesting and important issue in decision making. In this paper, we first define the concepts of interval multiplicative preference relations, consistent interval multiplicative preference relations, and then propose some simple and practical linear programming models, based on consistent interval multiplicative preference relations for obtaining the priority vector of interval multiplicative preference relations.These linear programming models are also extended to obtain the collective priority vector of several interval multiplicative preference relations. Finally, the proposed models are tested and examined with two numerical examples and prove to be simple, effective and practical.
  • Keywords
    decision making; linear programming; decision making; interval multiplicative preference relation; linear programming models; priority vector; uncertain preference information; Computational complexity; Conference management; Decision making; Engineering management; Linear programming; Mathematical programming; Testing; Uncertainty; Vectors; consistent interval multiplicative preference relations; interval multiplicative preference relation; linear programming models; priority vector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    978-1-4244-2387-3
  • Electronic_ISBN
    978-1-4244-2388-0
  • Type

    conf

  • DOI
    10.1109/ICMSE.2008.4668916
  • Filename
    4668916