• DocumentCode
    2089574
  • Title

    Non-probabilistic uncertainty measures

  • Author

    Luzza, Carlo Beorto ; Poggi, Carla

  • Author_Institution
    Pavia Univ., Italy
  • fYear
    1990
  • fDate
    3-5 Dec 1990
  • Firstpage
    647
  • Lastpage
    651
  • Abstract
    In the framework of the axiomatic information theory proposed by J. Kampe de Feriet and B. Forte, the authors present some results concerning composable uncertainties. In particular the authors apply the recursive method due to P. Benvenuti in order to obtain the explicit form of the set of generalizations of the uncertainty measures studied by C. Bertoluzza and M. Schneider (1974). Some examples are also presented
  • Keywords
    algebra; information theory; set theory; axiomatic information theory; composable uncertainties; nonprobabilistic uncertainty measures; recursive method; Algebra; Artificial intelligence; Information theory; Measurement uncertainty; Particle measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-2107-9
  • Type

    conf

  • DOI
    10.1109/ISUMA.1990.151331
  • Filename
    151331
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2089574