Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Combination Method of Evidence Grouping

Authors
Rong Li Chen, Xi Bin Wang
Corresponding Author
Rong Li Chen
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.36How to use a DOI?
Keywords
Evidence Grouping; Evidence Theory; Static Weight; Computer Simulation
Abstract
The theory of Evidence reasoning is an important method for processing uncertain information, in order to improve the accuracy of evidence fusion and to reduce the amount of operation, and ensure that combining results are still reasonable and effective when it happens to information conflicting, so this paper presents combination method of evidence grouping. The method can be used to judge whether it is available to combine with Dempster combination rule in evidence, if it works, the two evidences are classified as known groups, otherwise they are classified as unknown groups. For the known evidence, it makes use of combination rule to combine directly(combination within the group); the data obtained by the combination within the group and the data of an unknown group can combine in groups using computer simulation techniques, this paper analyzes the method that it is provided with characteristics of small operation, good stability, high accuracy.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.36How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Rong Li Chen
AU  - Xi Bin Wang
PY  - 2015/04
DA  - 2015/04
TI  - Combination Method of Evidence Grouping
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.36
DO  - https://doi.org/10.2991/amcce-15.2015.36
ID  - Chen2015/04
ER  -