A Kind of Analytic Hierarchy Process and Neural Network Integrated Evaluation Method of Teaching

DOI

10.2991/ichess-16.2016.50How to use a DOI?

Keywords

Teaching evaluation, AHP, BP neural network, preference coefficient

Abstract

Teaching evaluation as the core content of teaching management, it plays a very important role in the process of teaching. In terms of evaluation method, AHP can make full use of expert opinions, but it's hard to get rid of the randomness in the process of decision making, subjective uncertainty and vagueness of the understanding; is not affected by man-made factors of neural network evaluation but can't reflect the preference. So this paper puts forward AHP and neural network combining the teaching evaluation of the new model, using AHP and neural network to performance evaluation indexes, the introduction of subjective and objective preference coefficient, using the weighted method to determine the criterion of comprehensive weight. Results show that the model based on AHP and neural network compared with the existing teaching evaluation method is more accurate, and it can provide for teaching management reference.

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/).

Download article (PDF)

TY  - CONF
AU  - Hongjun Yang
AU  - Juanjuan Xu
PY  - 2016/08
DA  - 2016/08
TI  - A Kind of Analytic Hierarchy Process and Neural Network Integrated Evaluation Method of Teaching
BT  - Proceedings of the 2016 International Conference on Humanity, Education and Social Science
PB  - Atlantis Press
SP  - 231
EP  - 235
SN  - 2352-5398
UR  - https://doi.org/10.2991/ichess-16.2016.50
DO  - 10.2991/ichess-16.2016.50
ID  - Yang2016/08
ER  -