DocumentCode
3384969
Title
Measuring conflict in evidence theory
Author
Wierman, Mark J.
Author_Institution
Creighton Univ., Omaha, NE, USA
Volume
3
fYear
2001
fDate
25-28 July 2001
Firstpage
1741
Abstract
The Shannon entropy measures conflict in probabilistic evidence. The evidence theory also presents information that is inherently conflicting. Uncertainty measures for conflict in the evidence theory include aggregate uncertainty, dissonance, confusion, discord, granularity and strife. This paper compares and critiques the properties of these measures
Keywords
case-based reasoning; entropy; probability; uncertainty handling; Shannon entropy measures; entropy; evidence theory; probabilistic evidence; uncertainty handling; Distribution functions; Entropy; Fuzzy set theory; Measurement uncertainty; Possibility theory; Power measurement; Remote sensing; Satellites; Set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-7078-3
Type
conf
DOI
10.1109/NAFIPS.2001.943815
Filename
943815
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