• DocumentCode
    1604707
  • Title

    Partitions and pignistic distributions in GIT

  • Author

    Wierman, Mark J.

  • Author_Institution
    Dept. of Comput. Sci., Creighton Univ., Omaha, NE
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The Ambiguity measure is based on a probability distribution derived from a body of evidence using pignistic techniques. The Aggregate Uncertainty measure also creates a probability distribution from a body of evidence but this distribution is chosen to maximize the Shannon entropy. A body of evidence can be used to form a partition of the underlying domain. When we can group the terms of the Ambiguity or Aggregate Uncertainty using this partition, some interesting connections between entropies and nonspecificities are revealed.
  • Keywords
    entropy; information theory; probability; Shannon entropy; aggregate uncertainty measure; generalised information theory; pignistic techniques; probability distribution; Aggregates; Entropy; Measurement uncertainty; Probability distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4244-2351-4
  • Electronic_ISBN
    978-1-4244-2352-1
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2008.4531316
  • Filename
    4531316