DocumentCode
2572765
Title
Study on the Quantitative Evaluation of Underground Space´s Air Quality
Author
Di, Yanqiang ; Huang, Tao ; Zhao, Yu ; Xie, Qian
Author_Institution
Building Environ. & Energy Res. Inst., China Acad. of Building Res., Beijing, China
fYear
2009
fDate
2-3 May 2009
Firstpage
17
Lastpage
20
Abstract
In this paper, the quantitative evaluation model-attribute recognition model is used to identify underground spacepsilas air quality. Three types of method are applicated to empower the objective weights, which avoid determining the weights subjectively. In the light of actual description of the process, the ultimately evaluation of underground spacepsilas air quality is fit for the result of reality.
Keywords
air pollution; model-attribute recognition; quantitative evaluation; underground space air quality; Air pollution; Artificial neural networks; Equations; Extraterrestrial measurements; Fuzzy neural networks; Power engineering and energy; Space technology; air quality; attribute recognition; quantitative evaluation; underground space;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering Computation, 2009. ICEC '09. International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-0-7695-3655-2
Type
conf
DOI
10.1109/ICEC.2009.52
Filename
5167080
Link To Document