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
Link To Document :
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