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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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