本文利用排序多元离散选择模型，结合实际数据，对中国银行的客户信用评级系统进行了检验。
This paper USES ordered multivariable discrete choice model and practical data to test the client credit grading system of Bank of China.
对多元有限离散函数引入了偏导数及微分新概念，并讨论了其性质。
The partial differentiations and derivatives are introduced for multivariate finite discrete functions, and the properties of which are discussed.
本文提出一种基于特征量化值(区间值，离散值或符号值)的多元分类树的构造方法。
A method for constructing multiway decision tree based on quantized feature values (such as interval values, discrete values and symbolic values) is proposed.
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