3 改进的决策树算法(Metric Based Decision Tree ,MBDT) 对任何数量的训练集，总是能找到相应的多个线性判别函数把它分类，但是这样生成的 树的深度可能太大。
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对于给定的不完全决策表，该算法应用改进的ID 3算法来构造决策树，在构造决策树的过程中对遗失值进行补充。
For a given incomplete decision table, the algorithm constructs decision tree using the improved ID3 algorithm, and fills the missing data in the process of constructing the decision tree.
将改进的P SO引入到决策树建树方法中，并与传统的决策树方法及使用遗传算法改进后的树进行比较，验证了其优越性。
Building up decision tree by improved PSO, the paper gives the example to validate that the improved algorithm is better than the original decision tree method and by improved by GA.
该算法应用改进的ID 3算法来构造决策树，利用决策规则对缺失值进行补充。
The algorithm constructs decision tree using an improved ID3 algorithm, and fills the missing data by decision rules.
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