International Journal of Computational Intelligence Systems

Volume 13, Issue 1, 2020, Pages 638 - 644

Technology State Control Based on Multi-source Heterogeneous Data Fusion in Manufacturing

Authors
Jie Yu*, Shenggao Gu, Wei Zhang
China Aerospace Academy of Systems Science and Engineering, Beijing, China
*Corresponding author. E-mail: yujie6165@163.com
Corresponding Author
Jie Yu
Received 2 March 2020, Accepted 7 May 2020, Available Online 11 June 2020.
DOI
10.2991/ijcis.d.200518.001How to use a DOI?
Keywords
Decision-making; Data fusion; Rough set; D-S evidence
Abstract

The technology state is determined not by a single data, but by multiple data sources that has a certain degree of uncertainty and ambiguity, and even be contradictory which is difficult to support decision-making effectively. In this paper, an efficient intelligent decision-making method based on multi-source heterogeneous data fusion is proposed. Firstly, under the rough set theory, the attribute reduction method based on the improved particle swarm optimization is proposed to efficiently obtain decision-related attributes. Secondly, using the improved Dempster-Shafer (D-S) evidence theory to fuse and calculate the reduced information sources to obtain the final decision results. Finally, the production process of satellite separation station was taken as the application object to verify the feasibility of proposed technology.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
638 - 644
Publication Date
2020/06/11
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.200518.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Jie Yu
AU  - Shenggao Gu
AU  - Wei Zhang
PY  - 2020
DA  - 2020/06/11
TI  - Technology State Control Based on Multi-source Heterogeneous Data Fusion in Manufacturing
JO  - International Journal of Computational Intelligence Systems
SP  - 638
EP  - 644
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200518.001
DO  - 10.2991/ijcis.d.200518.001
ID  - Yu2020
ER  -