Proceedings of The First International Symposium on Management and Social Sciences (ISMSS 2019)

Analysis on the Influencing Factors of Graduate Training Quality Based on Grey Relevance Theory

Authors
Yongbo Liu
Corresponding Author
Yongbo Liu
Available Online April 2019.
DOI
10.2991/ismss-19.2019.60How to use a DOI?
Keywords
Dissertation quality; grey relational matrix; relevance; relational order
Abstract

This paper focuses on the theme of the quality of postgraduate training, and from a systematic point of view, analyzes the various factors and their impacts. Following the research framework of positivism and applying the relational analysis method of grey system theory, this paper quantifies the internal relations and changing situation of each teaching link in the process of postgraduate cultivation, excavates the knowledge of common laws from objective data, and carries out extended analysis on this basis, aiming at finding an effective way to improve the quality of Postgraduate cultivation.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of The First International Symposium on Management and Social Sciences (ISMSS 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2019
ISBN
978-94-6252-697-6
ISSN
2352-5398
DOI
10.2991/ismss-19.2019.60How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yongbo Liu
PY  - 2019/04
DA  - 2019/04
TI  - Analysis on the Influencing Factors of Graduate Training Quality Based on Grey Relevance Theory
BT  - Proceedings of The First International Symposium on Management and Social Sciences (ISMSS 2019)
PB  - Atlantis Press
SP  - 276
EP  - 279
SN  - 2352-5398
UR  - https://doi.org/10.2991/ismss-19.2019.60
DO  - 10.2991/ismss-19.2019.60
ID  - Liu2019/04
ER  -