Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)

Modelling Urban Wisdom Growth of Sustainable Development

Authors
Zaiqiang Ku, Pei Guo
Corresponding Author
Zaiqiang Ku
Available Online May 2018.
DOI
10.2991/ammsa-18.2018.40How to use a DOI?
Keywords
smart city; annual growth rate; urban sustainable; urban sustainable development
Abstract

A model for urban wisdom growth of sustainable development is proposed in this paper. Based on the entropy weight method and the gray relational analysis, we calculate the weight of each index and the correlation coefficient between the indicators, and get the urban intelligent growth indexes andobtain the annual growth rate of the composite indexes.The innovation of this paper is that the entropy weight method and the gray relational analysis method are applied to evaluate the urban intelligence growth index for the first time and calculate the growth rate of the annual comprehensive indexes. The success degree of urban intelligent growth is divided by the annual growth rate divided by the current growth rate.

Copyright
© 2018, 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 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
978-94-6252-529-0
ISSN
1951-6851
DOI
10.2991/ammsa-18.2018.40How to use a DOI?
Copyright
© 2018, 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  - Zaiqiang Ku
AU  - Pei Guo
PY  - 2018/05
DA  - 2018/05
TI  - Modelling Urban Wisdom Growth of Sustainable Development
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 197
EP  - 201
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.40
DO  - 10.2991/ammsa-18.2018.40
ID  - Ku2018/05
ER  -