• DocumentCode
    478486
  • Title

    On the Trust Decision in Virtual Society: Using the Least Point Principle in Dempster-Shafer Theory of Belief Functions

  • Author

    Wu, Huabei ; Sun, Jizhou ; Xu, Guangquan

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin
  • Volume
    6
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    63
  • Lastpage
    66
  • Abstract
    In the virtual society on Internet seeking trusted nodes is a very difficult task in that there are so many elements to make all things uncertain. Therefore how to make trust decision becomes troublesome and has attracted interest from so many researchers. Traditional decision-making methods are mainly dependent on some uncertain theories, which include fuzzy sets theory, rough set theory, Bayesian network, probability theory and mathematical statistics. But none of them is qualified when we consider the QoS. In this paper, the lease point principle (LPP) is defined for the first time and used to help trust decision in Dempster-Shafer theory of belief function, then an universal algorithm, least point principle based trust decision (LPPBTD),is designed, which is followed by several experiments. The results computed by the experiments are nearly consistent with the reality, which verifies the fitness of using the proposed method to make trust decision.
  • Keywords
    Internet; belief maintenance; decision making; inference mechanisms; quality of service; security of data; Dempster-Shafer theory; Internet; belief functions; least point principle based trust decision; quality of service; trust decision making; virtual society; Algorithm design and analysis; Bayesian methods; Computer science; Decision making; Fuzzy set theory; Internet; Probability; Set theory; Statistics; Sun; Dempster-Shafer Theory; Least Point Principle; Trust Decision; Virtual Society;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.558
  • Filename
    4667804