The minimum condition attribute set which keeps the dependency degree changeless is just the minimum reducing set of condition attribute set.

保持依赖度不变的最小条件属性集为条件属性的最小约简集。

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Four kinds of condition entropy are defined in this paper. Accordingly, four kinds of entropy based methods for the attribute reduction in the rough set data analysis are proposed.

本文定义了四种条件熵，并在此基础上提出了四种基于熵的方法，以用于粗糙集数据分析中的属性简约。

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Using the basic conception of Rough Set theory, a quantified appraise model based on the integrality of condition attribute that composed in the case is established in this paper.

本文结合粗集理论的基本概念，根据案例所包含的条件属性是否完备建立了案例可信度的定量评价模型。

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