• DocumentCode
    2382903
  • Title

    Inverse Problemin DSmT and Its Applications in Trust Management

  • Author

    Wang, Jin ; Sun, Huaijiang

  • Author_Institution
    Nanjing Univ. of Sci. & Technol., Nanjing
  • fYear
    2007
  • fDate
    1-3 Nov. 2007
  • Firstpage
    424
  • Lastpage
    428
  • Abstract
    DSmT (Dezert-Smarandache Theory) is actually a natural extension of DST (Dempster-Shafer Evidence Theory) and Bayes Probability Theory, which can handle both uncertainty and contradiction efficiently. We present the inverse problem in DSmT and research on the existence of its unique exact solution. In particular, we adopt PSO (Particle Swarm Optimization) arithmetic to find an approximate solution if the inverse problem dose not have a unique exact solution. Trust management has become a key technology and hot topic in open computational systems in recent years. We apply DSmT to the trust management field as a new way of trust representation. Moreover, the simulation suggests that the difference between the second-hand evidential trust evaluation and the first-hand evidential trust evaluation can be greatly reduced by the modification based on the inverse problem framework in DSmT.
  • Keywords
    Bayes methods; inference mechanisms; inverse problems; open systems; particle swarm optimisation; probability; security of data; uncertainty handling; Bayes probability theory; Dempster-Shafer evidence theory; Dezert-Smarandache theory; contradiction handling; evidential trust evaluation; inverse problem; open computational systems; particle swarm optimization arithmetic; trust management; trust representation; uncertainty handling; Application software; Arithmetic; Computational modeling; Computer science; Data privacy; Inverse problems; Particle swarm optimization; Sun; Technology management; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data, Privacy, and E-Commerce, 2007. ISDPE 2007. The First International Symposium on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3016-1
  • Type

    conf

  • DOI
    10.1109/ISDPE.2007.38
  • Filename
    4402725