分类结果不确定性评价 Evaluation Uncertainty of Classification
算法以分类不确定性度量g作为核心概念。
The core concept of the algorithms is the classification ambiguity called g.
采用围岩分类专家系统中的不确定性推理处理方法，以工程地质学家谷德振提出的岩体结构划分标准为基础，对金川二矿区岩（矿）体用模糊数学中择近原则的方法进行模糊综合判别。
Rock mechanics models have been established for different types of rock structure to offer a reliable mechanical basis for the analog analysis of host rock stability while mining in a broad area.
SVMFN中采用了一种新的模糊密度定义，同时考虑了分类器的精确度和不确定性，提高了识别的可靠性。
The SVMFN employs a new definition of fuzzy density which incorporates accuracy and uncertainty of the classifiers to improve recognition reliability.
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