Quantitative Risk Assessment with Data Mining for Formaldehyde Content of Imported Textile

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 r...

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Bibliographic Details
Published in东华大学学报(英文版) Vol. 31; no. 4; pp. 437 - 440
Main Author 薛文良 胡向媛 魏孟媛 马哲远 钱竞芳
Format Journal Article
LanguageEnglish
Published Key Laboratory of Textile Science & Technology, Ministry of Education, Donghua University, Shanghai 201620, China%Shanghai Entry-Exit Inspection and Quarantine Bureau, Shanghai 200135, China 31.08.2014
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ISSN1672-5220

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Summary: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.
Bibliography:31-1920/N
XUE Wen-liang, HU Xiang-yuan , WEI Meng-yuan, MA Zhe-yuan , QIAN Jing-fang( 1 Key Laboratory of Textile Science & Technology, Ministry of Education, Donghua University, Shanghai 201620, China 2 Shanghai Entry-Exit Inspection and Quarantine Bureau, Shanghai 200135, China)
quantitative risk assessment formaldehyde content disqualified textiles
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.
ISSN:1672-5220