• DocumentCode
    344608
  • Title

    Information fusion based on exponential possibility distributions

  • Author

    Guo, Peijun ; Tanaka, Hideo

  • Author_Institution
    Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
  • Volume
    2
  • fYear
    1999
  • fDate
    22-25 Aug. 1999
  • Firstpage
    819
  • Abstract
    Information fusion models are proposed to combine multi-source information which is represented by a set of exponential possibility distributions. The consistency index is defined to reflect the inherent harmony degree between a pair of possibility distributions. As an application, the portfolio selection problem based on multiple experts is considered.
  • Keywords
    exponential distribution; fuzzy set theory; investment; knowledge representation; possibility theory; uncertainty handling; consistency index; exponential possibility distributions; information fusion; inherent harmony degree; multi-source information; multiple experts; portfolio selection problem; Accelerated aging; Application software; Globalization; Industrial engineering; Markov random fields; Portfolios; Possibility theory; Probability distribution; Sensor fusion; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
  • Conference_Location
    Seoul, South Korea
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-5406-0
  • Type

    conf

  • DOI
    10.1109/FUZZY.1999.793054
  • Filename
    793054
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=344608