城市绿地土壤肥力评价的未确知属性测度分析法

The unascertained attribute measurement analysis method for the evaluation of urban green space soil fertility

基于未确知数学理论和属性数学理论,研究了土壤肥力综合评价方法,建立了城市绿地土壤肥力综合评价及分级的未确知属性测度分析法。该方法首先需要确定城市绿地土壤肥力状况的评价指标及分类标准,以及土壤肥力状况级别组数;然后构建单指标的未确知属性测度函数,以计算单指标的未确知属性测度函数值和样本的综合未确知属性测度值;最后应用置信度准则对城市绿地土壤样本进行识别,以确定土壤样本肥力状况的级别属性。基于两个城市绿地土壤样本的模糊综合评价结果,以及13个城市绿地土壤样本的全排列多边形图示指标法、物元可拓法以及改进的人工神经网络法的评价结果进行了验证,本研究方法的评价结果与模糊综合评价法、全排列多边形图示指标法、物元可拓法以及改进的人工神经网络法的一致性分别为100%、84.62%、92.31%和100%。实例评价表明,采用该方法对城市绿地土壤肥力状况进行评价是可行的,为城市绿地土壤肥力综合评价提供了新的途径和方法。

A synthetic evaluation method for soil fertility was investigated based on unascertained mathematical theory,attribute mathematical theory,and the unascertained attribute measurement analysis method（UAMA）.A synthetic evaluation and classification of soil fertility in urban green spaces was postulated.Firstly,the evaluation indexes and their classification standards,and the grades for soil fertility status were determined for the evaluation of urban green space soil fertility.Secondly,the unascertained attribute measurement functions of each index were constructed to compute the unascertained attribute measurement value of the single index and the synthetic unascertained attribute measurement value.Finally,the evaluation of soil samples from urban green spaces was conducted using the confidence criteria to determine the status and classification of soil fertility.The UAMA method in this paper was tested based on the fuzzy comprehensive method for two soil fertility samples,and the entire-array-polygon indicator method,matter-element extension method,and improved artificial neural network method for 13 soil fertility samples.The consistency rates were 100%,84.62%,92.31%,and 100% between the UAMA method and fuzzy comprehensive method,entire-array-polygon indicator method,matter-element extension method,and improved artificial neural network method,respectively.Case studies indicated that the UAMA method used in this paper was feasible and reasonable,and it provided a new method for the evaluation of urban green space soil fertility.