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模糊分类回归法及在矿床预测中的应用
引用本文:燕杰.模糊分类回归法及在矿床预测中的应用[J].华北科技学院学报,2003,5(1):10-13.
作者姓名:燕杰
作者单位:郑州工业贸易学校,河南郑州450007
摘    要:把模糊数学与传统的统计方法相结合,提出一种模糊分类回归法。该法先用模糊数学最大隶属度原则判别,然后对每类单元取其变量的隶属度作为回归变量,建立回归模型,用于矿床预测。

关 键 词:模糊集  隶属度  回归分析  矿床预测  统计方法

Fuzzy Classification and Regressive Method and Its Use in Mineral Depozit Caculation
Yan Jie.Fuzzy Classification and Regressive Method and Its Use in Mineral Depozit Caculation[J].Journal of North China Institute of Science and Technology,2003,5(1):10-13.
Authors:Yan Jie
Abstract:This article combines fuzzy mathmatics with traditional statistical method, suggesting a fuzzy classification and regressive method This method first uses the maximum attaching degree policy in fuzzy mathmatics, and then uses variables in each classification unit as regressive variables, thus builds a regressive model, and is used in mineral deposit calculation.
Keywords:fuzzy set  attaching degree  regressive analyisi  mineral depozit caculation  
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