• DocumentCode
    3315385
  • Title

    Fast Projection of Focal Sets

  • Author

    Lehmann, Norbert

  • Author_Institution
    Univ. of Auckland, Auckland
  • fYear
    2007
  • fDate
    3-6 Dec. 2007
  • Firstpage
    191
  • Lastpage
    196
  • Abstract
    The efficiency of computations in Dempster-Shafer theory depends crucially on the encoding of focal sets. Most notably, an adequate encoding should allow to compute rapidly the projection, extension and intersection of focal sets. An encoding which has been proposed for that purpose is the binary representation of focal sets. One of its advantages is that the corresponding algorithms can easily be implemented in every high-level programming language which supports arbitrary long integer numbers. In this article, we take a closer look at the binary representation of focal sets. Primarily, our focus of interest is on the projection operation. We give a new implementation which is an order of magnitude faster than previous implementations of the projection operation. A series of empirical tests underline this finding which signifies a significant performance boost of belief function computations.
  • Keywords
    belief networks; encoding; inference mechanisms; sensor fusion; set theory; uncertainty handling; Dempster-Shafer theory; belief function computations; binary representation; encoding; focal sets projection; high-level programming language; sensor fusion; Approximation methods; Bayesian methods; Computer languages; Computer science; Encoding; Libraries; Microprocessors; Probability distribution; Sensor fusion; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information, 2007. ISSNIP 2007. 3rd International Conference on
  • Conference_Location
    Melbourne, Qld.
  • Print_ISBN
    978-1-4244-1501-4
  • Electronic_ISBN
    978-1-4244-1502-1
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2007.4496842
  • Filename
    4496842