首页|Quantitative Risk Assessment with Data Mining for Formaldehyde Content of Imported Textile
Quantitative Risk Assessment with Data Mining for Formaldehyde Content of Imported Textile
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原文链接
国家科技期刊平台
NETL
NSTL
维普
万方数据
The assessment of potential risks posed by formaldehyde in clothing to consumers is of increasing concern worldwide,for free formaldehyde is harmful to human.Some papers focus on hazard and exposure assessment,using quantitative and semi-quantitative method,rather than assessment for the factors related to formaldehyde content.In order to perform early-warning research and risk management,the quantitative risk assessment is used to analyze the imported textile testing data and find the factors related to formaldehyde content.K-means algorithm is the core of the method.It can be concluded that the disqualified textiles have relations with main fiber components,fabric color,season month,and brand.Then the data in the same attribute are clustered by Kmeans algorithm.The different classes are defined as related danger level,respectively severe,moderate,and light.
国家科技期刊平台
NSTL
维普
万方数据
