• DocumentCode
    2150564
  • Title

    Belief Functions and Probability for General Spaces

  • Author

    Tsau Young Lin

  • Author_Institution
    Dept. of Comput. Sci., San Jose State Univ., San Jose, CA, USA
  • fYear
    2010
  • fDate
    14-16 Aug. 2010
  • Firstpage
    314
  • Lastpage
    319
  • Abstract
    This paper has two major contributions: (1) Shafer\´s belief functions are extended from finite sets to general universes (sets). (2) Belief function theory on a universe Ω with countable focal elements is interpreted as a probability theory on the product space Ω × [0,1] A counter intuitive point of a belief function is its ignoring the impact of the intersections among focal elements. One obvious intuitive rational is: The basic probability assignment (bpa) is a measurement of some disjoint "information" on focal elements. Item #2 show that this disjoint "information" is a partition (equivalence relation) on the product space. Here are interesting corollary and new exploration: (3) Belief function is an inner probability, if all focal elements are disjoint. (4) Issues for Bel of uncountable focal elements are lightly touched.
  • Keywords
    belief maintenance; equivalence classes; probability; set theory; basic probability assignment; belief function; equivalence relation; finite sets; focal elements; Area measurement; Calculus; Convergence; Finite element methods; Limiting; Rough sets; Tin; Moore-Smith convergence; belief function; fuzzy set; measure; probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2010 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-7964-1
  • Type

    conf

  • DOI
    10.1109/GrC.2010.159
  • Filename
    5576276