Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)

Research on the Comprehensive Evaluation of Graduate Innovation Ability in Various Regions of China

Authors
Qinghua Wang, Lanfang Cheng, Fengqin Zhang
Corresponding Author
Qinghua Wang
Available Online November 2017.
DOI
10.2991/amms-17.2017.101How to use a DOI?
Keywords
graduate innovation ability; the evaluation index; cluster analysis; entropy weight method
Abstract

This paper starts from the analysis of the overall situation of postgraduates' innovation ability in our country, and constructs the evaluation index system. By using the method of multivariate clustering analysis, the 31 provinces of our country university innovation ability is divided into four categories, and the regional differences are clearly defined. Furthermore, the weights of each evaluation index are determined by using the entropy weight method, and the comprehensive evaluation results of the innovation ability of graduate students are given.

Copyright
© 2017, 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 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
10.2991/amms-17.2017.101
ISSN
1951-6851
DOI
10.2991/amms-17.2017.101How to use a DOI?
Copyright
© 2017, 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  - Qinghua Wang
AU  - Lanfang Cheng
AU  - Fengqin Zhang
PY  - 2017/11
DA  - 2017/11
TI  - Research on the Comprehensive Evaluation of Graduate Innovation Ability in Various Regions of China
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 467
EP  - 471
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.101
DO  - 10.2991/amms-17.2017.101
ID  - Wang2017/11
ER  -