An Evaluation Method based on Fuzzy Model for the Autonomous and Controllable of the Spacecraft Component Production

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.

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Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1145/3704814.3704820
Primary Topic
Advanced Data Processing Techniques
Type
article
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article

An Evaluation Method based on Fuzzy Model for the Autonomous and Controllable of the Spacecraft Component Production

Guo Jing, Hongxing Hao, Hu Huaquan, Ronghuan Yu
Advanced Data Processing Techniques
article

An Evaluation Method based on Fuzzy Model for the Autonomous and Controllable of the Spacecraft Component Production

Guo Jing, Hongxing Hao, Hu Huaquan, Ronghuan Yu
article en

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.

Space Engineering University (CN)
Affordable and clean energy
Openalex Percentile: Top 68%
Advanced Data Processing Techniques
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