Proceedings of the 2017 International Conference on Innovations in Economic Management and Social Science (IEMSS 2017)

Research on Fuzzy Mathematics Model of Teaching Quality Evaluation

Authors
Wenting Ma
Corresponding Author
Wenting Ma
Available Online April 2017.
DOI
10.2991/iemss-17.2017.302How to use a DOI?
Keywords
fuzzy mathematics model, teaching quality evaluation
Abstract

Teaching quality evaluation is a very important work in education and teaching. The core of evaluation is to establish the evaluation model. The commonly used evaluation model is the average comprehensive evaluation model. The evaluation idea is based on that the evaluation result can be superimposed and the evaluation factor is based on linear relationship. In this paper, fuzzy comprehensive evaluation method is used to construct a fuzzy comprehensive teaching evaluation model based on statistics, in order to provide a scientific basis for teaching evaluation.

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 Innovations in Economic Management and Social Science (IEMSS 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
April 2017
ISBN
10.2991/iemss-17.2017.302
ISSN
2352-5428
DOI
10.2991/iemss-17.2017.302How 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  - Wenting Ma
PY  - 2017/04
DA  - 2017/04
TI  - Research on Fuzzy Mathematics Model of Teaching Quality Evaluation
BT  - Proceedings of the 2017 International Conference on Innovations in Economic Management and Social Science (IEMSS 2017)
PB  - Atlantis Press
SP  - 1655
EP  - 1659
SN  - 2352-5428
UR  - https://doi.org/10.2991/iemss-17.2017.302
DO  - 10.2991/iemss-17.2017.302
ID  - Ma2017/04
ER  -