An Evaluation Method based on Fuzzy Model for the Autonomous and Controllable of the Spacecraft Component Production
Pages 19 - 23
Abstract
The Autonomous and controllable of the spacecraft component is of great importance for the development of our space industry. The key step of the spacecraft component is the production. Many researchers focus on the estimation of the autonomous and controllable of the spacecraft component production. This paper model the evaluation method including the construction of the evaluation index system and the estimation method. The proposed estimation method is based on the fuzzy model to synthesize the qualitative, quantitative indicators and the according weights. Compared to mapping the qualitative value to a fixed number, the proposed method avoids the effect of the subjectivity. The experimental results show that the proposed method tend to think highly of the quantitative values when the qualitative values are not very too much so as to avoid the effect of the subjectivity for the qualitative indicators in the evaluation.
References
[1]
Zhao Feng. Evaluation of Indepensent Innovation of our Country Based on Gray Clustering Analysis. Science and technology Management Research. vol. 1, pp. 18–20, 2008.
[2]
Shen Lei, Zuo Yun, Xie Qun, Li Xiang The Design of Testing Tools in Self-controlled Domestically-made System, Vol.37 No.2. pp. 154–158, February 2019.
[3]
Tang Xiaojing, Xue Qi, Shang Xiaofan, A method for evaluating the autonomous controllability of equipment construction based on negative lists. Military Operations Research and Systems Engineering. Vol.33 No.2. pp. 62–65, June 2019.
[4]
Zhu Shuai, Research on the Evaluation of External Dependency of Domestic CPUs. Beijing: Equipment Academy, 2016.
[5]
Zhu Shuai, Wu Lingda, Guo Jing. Evaluation Model for Initiative Degree of Domestic CPU Production. Journal of Equipment Academy. Vol.27 No.1. pp. 98–102, June 2016.
[6]
Hu Yunlong, Xie Weiqi, Yao Jingbo. Evaluation of Autonomous and Controllable Capability of Aerospace Test and Launch System. Ordnance Industry Automation. Vol.39 No.12. pp. 43–65, June 2019.
[7]
Peng Xiaofei, Li Jie, Liu Luyang, Miao Zhikun, Sun Ning. Research on the verification method of autonomous controllable application of domestic aerospace components. Comp[uter Measurement & control. Vol.30 No.5. pp. 268–273, 2022.
[8]
XIA Hong, LI Jingyuan, LI Yingxuan, YAO Quanbin, LI Nianbi. Research on the concepts and quantization of self-determination and controllable of components used in aerospace industry. Electronic components and material. Vol.32 No.7. pp. 50–53, July 2013.
Index Terms
- An Evaluation Method based on Fuzzy Model for the Autonomous and Controllable of the Spacecraft Component Production
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November 2024
169 pages
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Association for Computing Machinery
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Published: 20 January 2025
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CSAE 2024
CSAE 2024: The 8th International Conference on Computer Science and Application Engineering
November 28 - 29, 2024
Jiangsu, Shanghai, China
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