The Application of Multi-level Fuzzy Evaluation System in Urban Sustainable Development

DOI

10.2991/msmee-17.2017.101How to use a DOI?

Keywords

Smart growth coefficient, multi-level fuzzy evaluation system, gridding, membership function.

Abstract

As the world urbanizing rapidly, the task of achieving smart growth in cities is becoming even more important. In this paper, we will propose a "Smart Growth Coefficient"(SGC) and analyze it by Multi-level Fuzzy Evaluation System. We first define SGC to measure the extent to which the growth plan of a certain city is accordant with the principles of smart growth. The greater the SGC, the better the accordance. Dividing the city into multiple uniform grids(Gridding), we grade each index in the indicator layer. For one certain index, the ratio of the number of grids graded a certain score (Vi) to the total number of grids is defined as the membership degree to which the index can be graded as the score of the criterion layer in the evaluation system of SGC. Using this method, we get the univariate fuzzy evaluation matrix. Then we construct the membership function for each index. After that, the weights and the evaluation matrix are combined together to make a comprehensive evaluation to give the value of SGC in the target layer.

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/).

Download article (PDF)

TY  - CONF
AU  - Ruiwei Feng
PY  - 2017/05
DA  - 2017/05
TI  - The Application of Multi-level Fuzzy Evaluation System in Urban Sustainable Development
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 512
EP  - 515
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.101
DO  - 10.2991/msmee-17.2017.101
ID  - Feng2017/05
ER  -