Application of Principal Component Analysis in Measuring Water Supply Capacity

DOI

10.2991/msmee-17.2017.133How to use a DOI?

Keywords

Water Supply System Evaluation , PCA, GEM.

Abstract

Measuring the water supply capacity is very complex with many impact factors. It is difficult to find the main factors. After constant comparing and calculating, I finally determine 12 factors have greater impact on sustainable development. Due to the influence factors is very complex and linked between them, I adopt the way of principal component analysis (PCA) to reduce the factors as much as possible. I define four indicators, which are Probability of Water Supply (IP), Reliability of Water Supply (IR), Water Utilization Rate (IW) and Efficiency of Water Utilization (IE). The grades (> ,= ,<) of them respectively represent the indicators are high, middle and low.

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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TY  - CONF
AU  - Dejie Zhao
PY  - 2017/05
DA  - 2017/05
TI  - Application of Principal Component Analysis in Measuring Water Supply Capacity
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 689
EP  - 692
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.133
DO  - 10.2991/msmee-17.2017.133
ID  - Zhao2017/05
ER  -