DocumentCode
3130798
Title
Measuring evidential consistence by a generalized relative entropy
Author
Shaowei, Yong ; Wenxian, Yu ; Guirong, Guo
Author_Institution
Dept. of Electr. Eng., Nat. Univ. of Defense Tech., Hunan, China
Volume
2
fYear
1995
fDate
22-26 May 1995
Firstpage
617
Abstract
The overall objective of this paper is to derive an algorithmic framework for measuring the evidential consensus of Dempster-Shafer theory. More specifically, our goal is to develop information theoretic criteria to quantitatively measure the quality of consensus generated by pooling evidences from multi-knowledge sources
Keywords
Bayes methods; belief maintenance; case-based reasoning; entropy; set theory; uncertainty handling; Bayes theory; Dempster-Shafer theory; algorithmic framework; belief function; consensus measure; evidential consistence measurement; generalized relative entropy; ignorance concept; information theoretic criteria; knowledge sinks; knowledge sources; mathematical evidence; multi-knowledge sources; objective uncertainty; pooling evidences; quality of consensus; set-theoretic generalisation; Data mining; Entropy; Expert systems; Probability distribution; Q measurement; Uncertainty; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace and Electronics Conference, 1995. NAECON 1995., Proceedings of the IEEE 1995 National
Conference_Location
Dayton, OH
ISSN
0547-3578
Print_ISBN
0-7803-2666-0
Type
conf
DOI
10.1109/NAECON.1995.522001
Filename
522001
Link To Document