Evaluation System of Aerospace Science and Technology Talents Based on Fuzzy Comprehensive Evaluation
- DOI
- 10.2991/978-94-6463-172-2_66How to use a DOI?
- Keywords
- Fuzzy evaluation; Aerospace science and technology personnel; incentive
- Abstract
Space science and technology talents are the strategic resources to win the international competition, the important force to achieve independent innovation in space, and the main force to transform space science and technology achievements. Therefore, it is very important to establish a set of evaluation system for space science and technology talents. The establishment of the evaluation system for the correct evaluation of talents, their personal and enterprise development plays a very good incentive role. At present, there are few researches on the evaluation of aerospace science and technology talents, and the simple subjective evaluation method of scoring is often used for evaluation. At the same time, the evaluation indicators are more qualitative indicators and less quantitative indicators, which are not well combined and cannot accurately reflect the evaluation results. This paper solves this problem by establishing the evaluation index system of space science and technology talents and using the fuzzy evaluation method, which plays an important role in the construction of space science and technology talents in the future.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yawen Tong AU - Shaohong Chen AU - Ding Ma PY - 2023 DA - 2023/06/30 TI - Evaluation System of Aerospace Science and Technology Talents Based on Fuzzy Comprehensive Evaluation BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 624 EP - 630 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_66 DO - 10.2991/978-94-6463-172-2_66 ID - Tong2023 ER -