DocumentCode :
2235953
Title :
The Application of Grey Correlation Analysis in the Atmospheric Environment Quality Assessment
Author :
Liu, Shuliang ; Chi, Xiukai ; Hu, Zhiqiang
Author_Institution :
Sch. of Bus. Adm., North China Electr. Power Univ., Baoding, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
3872
Lastpage :
3875
Abstract :
The gray clustering method is a new clustering method, which is establishment and development on the fuzzy mathematics, it has been widely used in social and economic systems in various fields, and displayed its unique advantages in actual. Gray clustering method is used to conduct environmental quality assessment, which is based on the using the environmental monitoring data, and limited to the spatial and temporal scales, as described in the environmental system is seen as a gray system, and the quality of the environment is affected by a number of factors, some factors are difficult to measure and understand, and some factors have not yet been recognized. Thus, the environmental system can be studied as a gray system. In this paper, the application of gray correlation model of the atmosphere surrounding a power plant to evaluate the quality of the environment.
Keywords :
correlation methods; environmental management; fuzzy set theory; grey systems; pattern clustering; atmospheric environment quality assessment; environmental monitoring data; fuzzy mathematics; gray clustering method; grey correlation analysis; spatial scales; temporal scales; Atmospheric measurements; Atmospheric modeling; Clustering methods; Environmental economics; Fuzzy systems; Mathematics; Monitoring; Power generation economics; Power system modeling; Quality assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.1175
Filename :
5455660
Link To Document :
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