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/).
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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 -