• DocumentCode
    498969
  • Title

    The K-T conditions for portfolio selection problem in fuzzy decision system

  • Author

    Liu, Ying ; Hao, Fang-Fang

  • Author_Institution
    Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    860
  • Lastpage
    865
  • Abstract
    This paper introduces a type of mean-variance model for portfolio selection problem, in which the security returns are assumed to be fuzzy variables. To solve the portfolio problem, this paper applies the variance formulas to the proposed model so that the original optimization problem can be reduced to the deterministic one, which can be solved by applying Kuhn-Tucker (K-T) conditions. A numerical example is presented to demonstrate the proposed method.
  • Keywords
    fuzzy set theory; investment; Kuhn-Tucker condition; fuzzy decision system; mean-variance model; portfolio selection problem; Cybernetics; Fuzzy systems; Machine learning; Portfolios; Fuzzy variable; K-T conditions; expected value; portfolio selection; variance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212386
  • Filename
    5212386