Title :
Measuring conflict in evidence theory
Author :
Wierman, Mark J.
Author_Institution :
Creighton Univ., Omaha, NE, USA
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;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.943815
