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 language | English (US) |
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| Title of host publication | 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 |
| DOIs | |
| State | Published - Sep 11 2008 |
| Event | 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 - New York City, NY, United States Duration: May 19 2008 → May 22 2008 |
Publication series
| Name | Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS |
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Other
| Other | 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 |
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| Country | United States |
| City | New York City, NY |
| Period | 5/19/08 → 5/22/08 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Mathematics(all)
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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