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
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;
Conference_Titel :
Aerospace and Electronics Conference, 1995. NAECON 1995., Proceedings of the IEEE 1995 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-2666-0
DOI :
10.1109/NAECON.1995.522001
