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 conditional information quantity.
属性约简要求在保持知识库的分类和决策能力不变的条件下，删除不相关或不重要的属性。
Under the condition of unchanged classification and decision abilities, attribute reduction is to delete irrelative or unimportant attribute.
提出了一种基于条件粒度熵的属性约简的启发式算法，通过例子分析，表明该算法是有效的。
The paper offer a new heuristic attribute reduction algorithm based on conditional granularity entropy, though running an example, we show that this algorithm is effective.
在选择若干次后获得满足约简条件的属性子集。
After a number of repeats above, it gains the attribute subset, which satisfied with reduction condition.
该算法以所有条件属性为初始约简集合，以属性重要性为迭代准则，通过逐步缩减来求取约简。
With all the condition attribute as the initial reduction, this algorithm takes importance of attribute as the iterative criterion to find reduction.
以原始条件属性集为起点并结合算子，通过向属性核的递减式逼近，得到属性的最小相对约简。
Acquiring optimal relative reduction by descending approach to core of attribute from original set of conditional attribute and combining with operator.
粗糙集中决策表约简也就是以基于最少的条件属性和最小冗余的属性值导出最少的决策规则或分类规则。
Simplification of Decision tables in Roouh set is order to lead decision rule or categorised rule at the least on the basis of the least condition attribute and minimum redundant attribute value.
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。
The minimum condition attribute set which keeps the dependency degree changeless is just the minimum reducing set of condition attribute set.
对此，对拥有6个属性（4个条件和两个决策属性）以及10 2个个体的一致决策表或邻域值决策表进行处理并生成了约简的决策规则。
Thus, reduction of the tables is handled to possess 6 attributes (4 conditional attributes and 2 decision attributes) and 102 objects to use two methods respectively, and to obtain the same results.
论文以决策强度、条件向量的覆盖度和属性的重要性为启发式信息，提出了条件向量约简的一种启发式算法，通过实验验证了该算法是有效的。
In this paper, a heuristic algorithm based on decision strength, the coverage degree of condition vectors and the significance of attribute for condition vectors' reduction is proposed. Experi...
论文以决策强度、条件向量的覆盖度和属性的重要性为启发式信息，提出了条件向量约简的一种启发式算法，通过实验验证了该算法是有效的。
In this paper, a heuristic algorithm based on decision strength, the coverage degree of condition vectors and the significance of attribute for condition vectors' reduction is proposed. Experi...
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