Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

The Combining Rule of Dempster-Shafer Theory for Correlative Evidence

Authors
Ping Wang1
1Electric and Information College, Xihua University
Corresponding Author
Ping Wang
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.106How to use a DOI?
Keywords
data fusion, correlation coefficient, D-S evidence theory.
Abstract

The thesis puts forward an improvement method for the combining rule of Dempster-Shafer evidence theory based on the correlation between evidences. Different from D-S theory, the correlation coefficient between evidences is introduced; and varies with the evidence fusion. By decreasing the probability evaluation of certainty and increasing the probability evaluation of uncertainty, the effect of correlative evidence to fusion result is reduced, and then we can get the fusion result which is closer to the fact. There is an example to expand the advantage of this method. The example shows that the method is helpful to find a correct result.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.106How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ping Wang
PY  - 2007/10
DA  - 2007/10
TI  - The Combining Rule of Dempster-Shafer Theory for Correlative Evidence
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 619
EP  - 622
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.106
DO  - https://doi.org/10.2991/iske.2007.106
ID  - Wang2007/10
ER  -