DocumentCode
2500015
Title
Attribute Recognition Model Based on Combination Weight to Evaluate the Air Quality of Underground Space
Author
Di, Yanqiang ; Cao, Yong ; Zhao, Yu ; Meng, Tao
Author_Institution
Building Environ. & Energy Res. Inst., China Acad. of Building Res., Beijing, China
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
4
Abstract
In this paper, the quantitative evaluation model- attribute recognition model is used to identify underground space´s 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 ultimate evaluation of underground space´s air quality is fit for the result of reality.
Keywords
air; mathematical analysis; air quality; attribute recognition model; combination weight; quantitative evaluation model; underground space; Air pollution; Artificial neural networks; Equations; Extraterrestrial measurements; Fuzzy neural networks; Power engineering and energy; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Electronic_ISBN
978-1-4244-2902-8
Type
conf
DOI
10.1109/ICBBE.2009.5162424
Filename
5162424
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