• DocumentCode
    263158
  • Title

    Can we trust subjective logic for information fusion?

  • Author

    Dezert, Jean ; Tchamova, Albena ; Deqiang Han ; Tacnet, Jean-Marc

  • Author_Institution
    Chemin de la Huniere, French Aerosp. Lab., Palaiseau, France
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, we provide a deep examination of the main bases of Subjective Logic (SL) and reveal serious problems with them. A new interesting alternative way for building a normal coarsened basic belief assignment from a refined one is also proposed. The defects in the SL fusion rule and the problems in the link between opinion and Beta probability density functions are also analyzed. Some numerical examples and related analyses are provided to justify our viewpoints.
  • Keywords
    formal logic; probability; SL fusion rule; belief assignment; beta probability density functions; information fusion; subjective logic; Atomic measurements; Bayes methods; Buildings; Entropy; Probability density function; Uncertainty; Upper bound; Information fusion; Subjective logic; belief functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2014 17th International Conference on
  • Conference_Location
    Salamanca
  • Type

    conf

  • Filename
    6916194
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=263158