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
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