模糊数学方法在金刚石原生矿预测中的应用

APPLICATION OF FUZZY METHOD TO THE PROGNOSIS OF PRIMARY DIAMOND DEPOSITS

在金刚石原生矿预测研究中应用模糊数学中的相似性优选和综合评判方法取得了好的效果。相似性优选主要利用定量数据并可直接用汉明距离求出规格化对比方阵,综合评判方法可以同时把定量和定性数据都纳入四个综合评判模型,若有必要还可以继续进行二级综合评判。在进行综合评判时必需考虑元素在岩体中的分布模型,若使用常量元素分析结果,则直接用原始数据,若为微量元素分析结果则先对原始数据先取对数。再根据样品数的多少分别选用格贴近度(N>5)和中间型隶属函数(N≤5)求值,若为其它的定性数据则采用其它相应的隶属函数求值,在此基础上再进行综合评判。笔者在实际应用时以综合结果为主,参考相似性优选结果进行选点,只利用岩石化学分析结果就获得了十分理想的效果,选出的第一点取样经鉴定即为钾镁煌斑岩。

The application of similarity optimization and synthetical grading in fuzzy mathematics to the prognosis of primary diamonds has given rise to good result. The similarity optimization mainly uses the qualitative data and calculates the regularized fuzzy comparative matrix directly by Hanming distance; while the synthetical grading can in corporate the quantitative and qualitative data into the four synthetical grading models, and if necessary, it can go on making second class synthetical grading. The distribution pattern of the element in the rock mass must be taken into consideration when making synthetical grading: if macro-analyses are used, the primitive data can be applied in the model; if micro-analyses are used, then the primitive data should be logrithmetically transformed before being applied. And then according to the quantity of sample numbers, correspondingly select closeness (N 5)or midde type subordinate function (N=5)to find the values, if other quantitative data are used, then applying other corresponding subordinating functions to find the values, synthetical grading is made on the basis of these values. The author uses the synthetical grading result,takes the similarity optimization result for reference,to select target areas, sat(?)sfactory result has been obtained and the first area selected is sampled and identified to be lamproite.