Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)

Rationality of Dempster-Shafer combination step by step

Authors
Qiang Chen, Wanshun Liu, Bojun Wan, Haifeng Wang
Corresponding Author
Qiang Chen
Available Online June 2017.
DOI
10.2991/icmia-17.2017.113How to use a DOI?
Keywords
step-by-step combination algorithm, Dempster-Shafer evidence combination, conflicting evidence, convergence.
Abstract

In this paper, provided a solution that evidence are sequentially used in pair aiming at the problem of multi-evidence combination. Several theorems and deductions are presented and proved. The step-by-step combination algorithm mixing the classic Dempster-Shafer evidence combination method and the weighted average method is proposed for combination of severe conflicting evidence. The proposed algorithm has better convergence effectiveness and lesser uncertainty than the algorithms proposed in reference literature.

Copyright
© 2017, 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 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-387-6
ISSN
1951-6851
DOI
10.2991/icmia-17.2017.113How to use a DOI?
Copyright
© 2017, 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  - Qiang Chen
AU  - Wanshun Liu
AU  - Bojun Wan
AU  - Haifeng Wang
PY  - 2017/06
DA  - 2017/06
TI  - Rationality of Dempster-Shafer combination step by step
BT  - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SP  - 633
EP  - 639
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.113
DO  - 10.2991/icmia-17.2017.113
ID  - Chen2017/06
ER  -