In the theory of rough set, attribute reduction of decision table was an important research subject.
在粗糙集理论中，决策表的属性约简是一个非常重要的研究课题。
Through examples, it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by conditional information quantity.
并举例说明，对于不一致决策表，其属性约简的代数表示不能用条件信息量来等价表示。
Through examples, it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by information quantity.
并举例说明，对于不一致决策表，其属性的约简不能用信息量来等价表示。
In this paper, a novel decision table discretization algorithm is presented, which has fine attribute reduction function in time of data discretization and increases quality of classification.
本文提出了一个新的决策表离散化算法，该算法在离散化数据的同时具有良好的属性约简功能。
Then, according to the features of the generalized information table, the algorithms of acquiring minimal attribute reduction, attribute value reduction and minimum decision algorithm are put forward.
首先介绍了决策表、广义信息表的构造及特点，然后给出了求决策表的最小属性约简及最小决策算法的计算方法。
Then, we present an improved decision matrix together with a method for attribute reduction of the decision table and an example shows that the improved method is effective and complete.
然后给出一个改进的决策矩阵和属性约简方法，例子分析表明，改进后的方法是有效的和完备的。
A distributed model of incremental attribute reduction is also presented by decomposing values of decision attribute of positive region and boundary region in non-tolerant decision table.
此外，通过对不相容决策表的正区域的决策值和边界域对原决策表进行分解，得到了一种分布式增量属性约简模型。
With regard to the attribute values in decision table, which are described with hybrid data, a new algorithm of attribute reduction based on rough set theory is proposed.
针对决策表中属性取值为杂合数据的情况，提出了基于粗糙集理论的属性约简算法。
Based on that theory, this paper deals with the attribute reduction for the fault diagnosis decision-making table of the vibration equipment.
本文根据粗糙集理论，对设备的振动故障诊断决策表进行属性约简，以提取故障识别的重要属性，降低决策表的冗余性。
Based on that theory, this paper deals with the attribute reduction for the fault diagnosis decision-making table of the vibration equipment.
本文根据粗糙集理论，对设备的振动故障诊断决策表进行属性约简，以提取故障识别的重要属性，降低决策表的冗余性。
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