Using Fuzzy Theory and Principal Component Analysis for Water Shortage Risk Assessment in Beijing, China | Zendy

Liyun Yang | Zendy; An Li | Zendy; Hao Bai | Zendy

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Using Fuzzy Theory and Principal Component Analysis for Water Shortage Risk Assessment in Beijing, China

Author(s) -

Liyun Yang,

An Li,

Hao Bai

Publication year - 2011

Publication title -

energy procedia

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.474

H-Index - 81

ISSN - 1876-6102

DOI - 10.1016/j.egypro.2011.10.509

Subject(s) - beijing , principal component analysis , china , economic shortage , fuzzy logic , component (thermodynamics) , environmental science , risk analysis (engineering) , computer science , business , geography , artificial intelligence , physics , linguistics , philosophy , archaeology , government (linguistics) , thermodynamics

Considering that the water shortage risk assessment is a fuzzy concept with multiple indicators and classes, and there is the limit for the weight value of fuzzy comprehensive evaluation method, the fuzzy mathematics method and the principal component analysis (PCA) are combined to evaluate the water shortage risk from 2001 to 2008 in Beijng. The weight problem has been modified by adopting the PCA, which make the weight value more objective. From quantitative assessment, the water shortage risk of Beijing stays high level from 2001 to 2008 and the unique channel for risk reduction is to improve the water saving technologies and increasing the sewage treatment rate. Keywords-water shortage risk assessment; fuzzy mathematics method; principal component analysis; Beijing.

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