并对影响城市空气质量的5个主要因素进行主成分分析，找出最能代表原来数据信息的2至3个因子代替原来的5个变量。
Then 5 main factors affecting urban air quality to principal component analysis identify the most representative of the original data instead of the 2 to 3 factors 5 variables.
本工作可以为研究室内空气质量和建筑物屏蔽因子提供一些借鉴。
This work can offer a reference for the studying of indoor air quality and shield factor of building.
将多污染因子评价归结于单目标决策，比较直观地反映出某区域环境空气质量综合水平及污染程度。
When the multi-ingredient pollution if transformed into the single-object decision, the results could directly show the integrative level and pollution degree of a certain area air quality.
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