Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

The Ability of Sustainable Development Research Based on Statistics Synthetic Appraisal Theory

Authors
Haiyi Sun, Ning Li, Jinbao Wang, Hongmei Yan
Corresponding Author
Haiyi Sun
Available Online April 2016.
DOI
10.2991/emim-16.2016.92How to use a DOI?
Keywords
Sustainable development; Statistics synthetic; The Principal Component Analysis(PCA); Analytic Hierarchy Process (AHP); Cluster Analysis
Abstract

In this paper, we make mathematical modeling and analysis on the sustainable development. In order to assess countries with different degree of sustainable development, we adapt the Principal Component Analysis(PCA) to collect a dozen factors which may affect the sustainable development for data analysis. For example, we filter 11 sets of data from 1990 to 2014 in the United States. Then we use the factor of principal component analysis to decide the solution layer of Analytic Hierarchy Process (AHP) and the rule layer. Our purpose is to use the specific value and weight of United States ( 11 factors* 25 years ) dates to get calculation formula of level indicators of sustainable development. Then we calculate level indicators of 14 countries with different degree of the sustainable development, and use these data for clustering analysis. At last, we get five clustering center,we divide the sustainable development indicators into five kinds of indicators: unsustainable, low level middle level, good level and very good level of sustainability. Therefore, according to the levels of these indicators and classification, we have distinguished more sustainable countries from less sustainable ones.

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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Volume Title
Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
Series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
978-94-6252-176-6
ISSN
2352-538X
DOI
10.2991/emim-16.2016.92How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Haiyi Sun
AU  - Ning Li
AU  - Jinbao Wang
AU  - Hongmei Yan
PY  - 2016/04
DA  - 2016/04
TI  - The Ability of Sustainable Development Research Based on Statistics Synthetic Appraisal Theory
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 427
EP  - 432
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.92
DO  - 10.2991/emim-16.2016.92
ID  - Sun2016/04
ER  -