Evaluation of university scientific research ability Based on T-S fuzzy neural network and DEA model

DOI

10.2991/ichess-16.2016.95How to use a DOI?

Keywords

Fuzzy system,Neural network,DEA,Scientific research

Abstract

This paper construct the evaluation index system of university scientific research ability from two aspects of research input and output, and then combined with fuzzy theory and neural network advantages, proposed the evaluation of scientific research ability of T-S model based on fuzzy neural network, the data analysis shows that, the model can accurately predict the status of scientific research ability in different colleges and universities; on the basis of the classification, further using the DEA algorithm, do in-depth comparative analysis on the scale efficiency and technical efficiency of the scientific research ability of various types of colleges and universities, points out the influence of non DEA effective factors, and give the corresponding improvement measures. Empirical analysis shows that the evaluation model based on T-S FNN and DEA has higher accuracy and stronger maneuverability.

Copyright

© 2016, 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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TY  - CONF
AU  - Yiyong Ye
PY  - 2016/08
DA  - 2016/08
TI  - Evaluation of university scientific research ability Based on T-S fuzzy neural network and DEA model
BT  - Proceedings of the 2016 International Conference on Humanity, Education and Social Science
PB  - Atlantis Press
SP  - 436
EP  - 446
SN  - 2352-5398
UR  - https://doi.org/10.2991/ichess-16.2016.95
DO  - 10.2991/ichess-16.2016.95
ID  - Ye2016/08
ER  -