Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)

Research on the Construction of the Quality Evaluation Model of Graduate Thesis Based on Evidence Theory

Authors
Yan Li
Corresponding Author
Yan Li
Available Online December 2016.
DOI
10.2991/msota-16.2016.32How to use a DOI?
Keywords
evidence; theory; multi-attribute decision; information fusion
Abstract

Objective and fair evaluation of graduate students' theses is a key link in the cultivation of graduate students. The evaluation work of the dissertation is actually a multi attribute group decision making problem. This paper constructs a new model for the quality evaluation of postgraduate degree thesis. The evidence theory is introduced into the evaluation of the degree thesis, and a method based on the evidence theory is proposed to fuse the evaluation information of the experts, so as to make the evaluation work more objective and fair.

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 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
10.2991/msota-16.2016.32
ISSN
2352-538X
DOI
10.2991/msota-16.2016.32How 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  - Yan Li
PY  - 2016/12
DA  - 2016/12
TI  - Research on the Construction of the Quality Evaluation Model of Graduate Thesis Based on Evidence Theory
BT  - Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)
PB  - Atlantis Press
SP  - 140
EP  - 143
SN  - 2352-538X
UR  - https://doi.org/10.2991/msota-16.2016.32
DO  - 10.2991/msota-16.2016.32
ID  - Li2016/12
ER  -