Optimal investment strategy for funded school choice

DOI

10.2991/icemct-16.2016.224How to use a DOI?

Keywords

Optimal Investment Strategy Funded School Principal Component Analysis (PCA) Gray Relational Analysis (GRA)

Abstract

With the development of charitable organizations, they have already become a special phenomenon promoting social education in a way. In this paper, we mainly discuss the optimal investment strategy for funded School choice in America. We first classify the affecting factors into economic status, teaching quality and future development after analyzing properties of 11 indicators. Then two evaluation models are built to ensure the final comprehensive result of determining the funded school. The first is a model of Principal Component Analysis (PCA), which is used to obtain the economic evaluation of each school. The second is a model of Gray Relational Analysis (GRA), which is to ensure the teaching quality and future development evaluation value respectively. Finally, according to the mean of three evaluation results, we determine the final top 200 funded schools.

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  - AnQi Wang
PY  - 2016/04
DA  - 2016/04
TI  - Optimal investment strategy for funded school choice
BT  - Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)
PB  - Atlantis Press
SP  - 1028
EP  - 1032
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-16.2016.224
DO  - 10.2991/icemct-16.2016.224
ID  - Wang2016/04
ER  -