Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)

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Research on Evaluation of Employment Quality of Higher Vocational Students Based on Multi-hierarchal Gray Systematic Evaluation Method

Authors
Huimin Chen1, *, Rongrong Peng1, Qichun Jin1, Yun Zhu2, Min Xiao2
1School of Mechanical and Electrical Engineering Wuxi City College of Vocational Technology, 12 Qianou Road, Huishan District, Wuxi City, Jiangsu Province, 214153, P.R. China
2Recruitment and Employment Department Wuxi City College of Vocational Technology, 12 Qianou Road, Huishan District, Wuxi City, Jiangsu Province, 214153, P.R. China
*Corresponding author. Email: 1512249605@qq.com
Corresponding Author
Huimin Chen
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-056-5_30How to use a DOI?
Keywords
Multi-hierarchal gray systematic evaluation method; higher vocational students; evaluation on employment quality
Abstract

The employment quality of higher vocational students reflects the school’s operation quality. In order to overcome ambiguity and uncertainty in the evaluation of the employment quality of higher vocational students, the multi-hierarchal gray systematic evaluation method is applied for evaluation research. The evaluation indicator system for the employment quality of higher vocational students is built around the government level, the graduate level and the social level. The weight coefficients of indicators at all levels are determined using the analytic hierarchy process, and the gray evaluation matrix of indicators at all levels is obtained in combination with the gray evaluation method. The evaluation results of the employment quality of students from higher vocational colleges are obtained through fuzzy operation. This method can help higher vocational colleges understand the overall situation of the employment quality of their students as well as provide theoretical and practical references for higher vocational colleges to improve the employment quality of graduates.

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.

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Volume Title
Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-056-5
ISSN
2589-4900
DOI
10.2991/978-94-6463-056-5_30How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Huimin Chen
AU  - Rongrong Peng
AU  - Qichun Jin
AU  - Yun Zhu
AU  - Min Xiao
PY  - 2022
DA  - 2022/12/29
TI  - Research on Evaluation of Employment Quality of Higher Vocational Students Based on Multi-hierarchal Gray Systematic Evaluation Method
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 213
EP  - 219
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_30
DO  - 10.2991/978-94-6463-056-5_30
ID  - Chen2022
ER  -