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。
Through examples, it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by information quantity.
从不一致决策表中快速而有效地挖掘出缺省规则是决策规则挖掘研究的一个热点。
How to speedily and effectively mine default rules is a key focus from inconsistent decision table.
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.
通过分类正确度有效处理了决策表的不一致性，采用启发式算法，挖掘出满足给定精确度的最简产生式规则知识。
We deal with the inconsistency through classification accuracy, using heuristic algorithms we can get a set of minimal productive rules satisfying the given classification accuracy.
新的约简模型将满足平均决策强度条件的最简规则集作为最终的约简结果，解决了不相容决策表约简结果不一致的问题。
The most concise decision rule set that satisfies condition of mean decision power is regarded as final reduction result in the new reduction model.
然而，由于数据采集的定义、规范以及操作等方面的原因，所得到的决策表常常是不一致的。
However, decision tables in general is inconsistent tables because of definition, criterion and operation in data collecting.
然而，由于数据采集的定义、规范以及操作等方面的原因，所得到的决策表常常是不一致的。
However, decision tables in general is inconsistent tables because of definition, criterion and operation in data collecting.
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