基于可拓关联度的土壤重金属污染评估

土壤重金属污染程度具有不确定性，因而要求评估模型能够反映这种性质。依据可拓理论中的物元理论、可拓集合论及关联函数，建立了土壤重金属污染评估的关联度及物元模型，并对6组重金属污染土壤，采用可拓物元模型进行了评估。研究表明，可拓评估是依据可拓关联度来判断污染属于某集合的程度，解决了土壤重金属污染程度划分的不确定性问题。而且用简单关联函数确定各影响因素的权重，能够基于数据特征挖掘相关信息，避免了主观性，因而基于可拓理论的评估是土壤重金属污染评估的一种有效的新方法。

Evaluation of Soil Heavy Metal Pollution Based on Extensible Dependency

The degree of soil heavy metal pollution has uncertainty and its evaluation model is required to reflect this nature. Based on the matter element theory, extension set and dependency function in the extension theory, a model for the dependency and matter elements of soil heavy metal pollution evaluation was established and used in the evaluation of six groups of heavy metal polluted soils. The research shows that extension evaluation decides the degree to which set the pollution belongs to based on their extensible dependency, solving the uncertainty in the degree classification of soil heavy metal pollution. Simple dependency function is used to determine the weight of each influencing factor, which can avoid the subjectivity as it is capable of digging relative information from data characteristics. Therefore, the evaluation method based on the extension theory is an efficient new method for soil heavy metal pollution.