Partitions and pignistic distributions in GIT

Mark J. Wierman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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 evedince can be used to form a partition of the underlying domain. When we can group the terms of the Abiguity or Aggregate Uncertainty using this partition, some interesting connections between entropies and nonspecificities are revealed.

Original languageEnglish (US)
Title of host publication2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008
DOIs
StatePublished - Sep 11 2008
Event2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 - New York City, NY, United States
Duration: May 19 2008May 22 2008

Publication series

NameAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Other

Other2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008
CountryUnited States
CityNew York City, NY
Period5/19/085/22/08

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Wierman, M. J. (2008). Partitions and pignistic distributions in GIT. In 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 [4531316] (Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS). https://doi.org/10.1109/NAFIPS.2008.4531316