Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

School Choices in Fund Distribution

Authors
Le Wang
Corresponding Author
Le Wang
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.60How to use a DOI?
Keywords
School choices, principal component analysis, indicators
Abstract

This article deals with the issues of school choices in fund distribution. First of all, through comparing two data sets of candidate schools and non-candidate schools, we employ different degree comparison, discrete data statistics and other methods to find out the indicators which has exerted an influence on this kind of classification. Otherwise, principal component analysis is utilized to set up a comprehensive assessment model, rank the candidate schools and distribute the funds. Final results show that totally 29 sets of indicators are important indicators of classification. And through ranking candidate schools according to these indicators, the investment schools and fund distribution chart is obtained.

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 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.60
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.60How 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  - Le Wang
PY  - 2017/04
DA  - 2017/04
TI  - School Choices in Fund Distribution
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 293
EP  - 296
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.60
DO  - 10.2991/icmmct-17.2017.60
ID  - Wang2017/04
ER  -