The traditional rough set theory can only deal with the discrete attribute in a database, so it is necessary to deal with the consistent attribute when the consistent attributes exist in a database.

传统的粗糙集理论只能对数据库中的离散属性进行处理，所以对存在连续属性的数据库必须进行离散化处理。

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The continuous attribute problems are often encountered in the real world, but many outstanding inductive learning algorithms are mainly based on a discrete feature space.

实际问题中经常涉及连续的数值属性，然而许多归纳学习算法却是针对离散属性空间的。

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The continuous attribute problems are often encountered in the real world, but many outstanding inductive learning algorithms are mainly based on a discrete feature space.

实际问题中经常涉及连续的数值属性，然而许多归纳学习算法却是针对离散属性空间的。

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