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1 前言 本文应用FUZZY贴近度进行突水水源判断,其方法是将已知突水点水质化验资料与井田内其它各含水层和可能构成突水水源的水质化验成果,用线性隶属函数转换成各自对应的模糊集合。设为R为已知突水点水质的模糊集合,S_i(i=Ⅰ,Ⅱ ,…,Ⅴ)为待定突水水源水质的的模糊集合。然后计算R与S_i的贴近度,S_i中与R贴近度最大者,便是欲寻求的突水水源。 在矿井水文地质信息缺乏,只能借助水质化验资料判断突水水源时,在特定水源间各元素(离子)含量差别不大,难以作出判断情况下,利用该方法能获得较为满意的结果。该方法的优点是把传统的单个元素(离子)含量的对比,变为各种元素(离子)含量的综合对比,而且由定性化趋向于数据化与定量化。2 FUZZY贴近度数学模型
1 Foreword In this paper, FUZZY close degree of water inrush judgment, the method is known water inrush point water quality test data and other wells in the aquifer and may constitute water inrush water quality test results, linear membership function into each Corresponding fuzzy set. Let R be a fuzzy set of known water inrush points, and S_i (i = Ⅰ, Ⅱ, ..., Ⅴ) be the fuzzy set of water quality of water inrush source. Then calculate the closeness between R and S_i. The closest neighbor of R in S_i is the water source to seek. In the absence of hydrological and geologic information in mines, it can only be judged by water quality test data that there is little difference between elements (ions) in specific water sources, and it is difficult to make judgments. Satisfactory results can be obtained by this method. The advantage of this method is that the comparison of the traditional content of individual elements (ions) becomes a comprehensive comparison of the contents of various elements (ions), and the qualitativeization tends to be dataized and quantified. 2 FUZZY close mathematical model