运用粗糙集溯源车用聚氯乙烯人造革的异味

Application of Rough Set Theory to Study of Odor Tracing of Vehicle Polyvinyl Chloride Artificial Leather

摘要:

针对异味溯源研究中异味来源广泛、异味强度数据模糊的问题，提出了将基于粗糙集和模糊数学理论的客观多属性权重分配分析方法运用于车内座椅用人造革异味的溯源研究.分析结果显示，在聚氯乙烯人造革发泡层配方中，阻燃剂、发泡剂、光稳定剂、热稳定剂、树脂对于异味产生影响程度的权重分配为0.082 3、0.432、0.082 7、0.221、0.182，发泡剂是异味产生的主要原因.随后对发泡剂产生异味的机理进行了分析并用气相色谱质谱联用仪定性分析进行验证，证实了基于粗糙集理论的数学分析方法能够对大批量的数据进行筛选，在异味强度这种主观模糊的数据中引入属性重要性的概念进行权重分配，从而找到了聚氯乙烯人造革配方中导致异味产生的主要来源.

Abstract:

The paper tries to put forward the application of mathematical analysis to odor tracing research of vehicle components and raw materials. The tracing of odor of vehicle polyvinyl chloride artificial leather was studied with a method based on the rough set theory, the fuzzy mathematics theory and the objective multiattribute weight distribution analysis. The results show that the weight distribution of each attribute is 0.082 3(flame retardant), 0.432(foaming agent), 0.082 7(light stabilizer), 0.221(heat stabilizer) and 0.182(resin). The foaming agent is the primary cause of polyvinyl chloride artificial leather odor. Then the mechanism of odor formation by blowing agents was analyzed by gas chromatographymass spectrometry, which confirmed that the mathematical analysis method based on rough set theory could screen large quantities of data and complete data mining for useful information from the odor intensity value which was subjective and fuzzy. Weight allocation was acquired by introducing the concept of attribute importance, thus the main cause of odor of PVC artificial leather formula was found.