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
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;
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
DOI :
10.1109/ICBBE.2009.5162424
