• DocumentCode
    1978296
  • Title

    Interpreting belief functions as probabilities: a new combination rule

  • Author

    Lin, Tsau Young T Y

  • Author_Institution
    Dept. of Math. & Comput. Sci., San Jose State Univ., CA, USA
  • fYear
    2003
  • fDate
    24-26 July 2003
  • Firstpage
    202
  • Lastpage
    207
  • Abstract
    Dempster and Shafer introduced the belief function to measure someone´s degree of beliefs or subjective probabilities. In IFSA´99 and NAFIPS´9, we presented two distinct proofs that a belief function is, in fact, an inner probability using the methods of functional analysis and measure theory respectively. In this paper, we continue the study and derive a new Dempster´s rule of combination based on probability theory.
  • Keywords
    belief networks; functional analysis; fuzzy set theory; inference mechanisms; probability; uncertainty handling; Dempster rule; belief function interpretation; combination rule; functional analysis; measure theory; probability theory; subjective probabilities; Area measurement; Calculus; Computer science; Educational institutions; Functional analysis; Fuzzy set theory; Logic; Mathematics; Possibility theory; Probability distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
  • Print_ISBN
    0-7803-7918-7
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2003.1226782
  • Filename
    1226782