室内空气质量灰色聚类决策评价

Grey Clustering Decision-making Evaluation on Indoor Air Quality

根据3所室内对象的监测数据,将灰色聚类决策引入到室内空气质量的研究中,以室内主要污染物二氧化碳、一氧化碳、可吸入颗粒作为评价指标,建立了室内空气质量聚类标准评价序列及其针对不同灰类的白化权函数,以此分析3种污染物对室内空气质量的综合影响程度,得出室内空气质量的灰色聚类决策结果,从而实现了对室内空气质量的灰色评价。

On the basis of monitoring data of three indoor objects, grey clustering decision-making is taken into the research of indoor air quality, actualizing the application of gray evaluation to indoor air quality. This paper takes the leading indoor pollutants-carbon dioxide （CO2）, carbon monoxide （CO） and pellet （PM10） as the evaluating indicators, and also establishes the standard cluster evaluation array of indoor air quality and the whitening weight functions of different grey classifications. According to these whitening functions the paper figures out the comprehensive influence on indoor air quality based on evaluating indicators and the decision-making. The research indicates that this method is effective for evaluating indoor air quality and will play an important role in improving the indoor air quality.