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采用模糊集理论将所有可能利用的信息及造成保留值测量不精确的因素通过隶属函数表示,并以隶属度大小对组分定性,提高了定性结果可靠性,并有传统方法不具备的多种优点。通过对两种不同升温方式下的实际样品定性分析得到证明。
Using the fuzzy set theory, all the possible information and the factors causing the inaccurate measurement of the retention value are expressed by the membership function, and the membership degree is used to characterize the components to improve the reliability of the qualitative results. In addition, there are many kinds of information that the traditional methods do not have advantage. Through the two different methods of heating the qualitative analysis of the actual samples have been proved.