• DocumentCode
    315903
  • Title

    Identification methods for exponential possibility distributions

  • Author

    Tanaka, Hideo ; Guo, Peijun

  • Author_Institution
    Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
  • Volume
    2
  • fYear
    1997
  • fDate
    1-5 Jul 1997
  • Firstpage
    687
  • Abstract
    This paper proposes three kinds of models for obtaining exponential possibility distributions, namely, the upper approximation model, the lower approximation model and the integrated model to reflect the different viewpoints. An example of the possibility distribution in a portfolio selection problem is shown
  • Keywords
    approximation theory; fuzzy set theory; identification; linear programming; possibility theory; probability; statistical analysis; exponential possibility distributions; identification; linear programming; lower approximation model; portfolio selection problem; principal component analysis; upper approximation model; Data analysis; Fuzzy sets; Industrial engineering; Portfolios; Possibility theory; Probability distribution; Random variables; Rough sets; Statistical analysis; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    0-7803-3796-4
  • Type

    conf

  • DOI
    10.1109/FUZZY.1997.622795
  • Filename
    622795