因此，提出了一种基于粗糙集理论的混合树增广朴素贝叶斯分类模型（MTANC）。

So a new Bayesian model mixed tree augmented Naive Bayes classifier(MTANC) based on the rough set theory is presented.

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基于基本粗糙集合理论中属性不精确或部分依赖关系的定义，提出了一种新的选择性受限树型贝叶斯网络分类器。

A variant of TAN using rough sets theory is presented, and their tree classifier structures, which can be thought of as a selective restricted trees Bayesian classifier, are compared.

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