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

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/).

Download article (PDF)
View full text (HTML)

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  -