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1·A new method for decision rule synthesis based on rough set theory is proposed.

提出了一种基于粗糙集的决策规则综合的新方法——归类优选方法。

2·Recent researches on speech model and decision rule improve the performance of voice activity detection.

各种改进算法针对语音模型、判决规则等核心问题进行了系统研究，检测性能得到了进一步提高。

3·Meanwhile, decision rule and quantificational standard for proper blank element size have been brought forward.

提出了合适的坯料网格尺寸的确定原则及其定量标准。

4·The decision point will automatically route the work package to a branch based on the result of the decision rule at runtime.

决策点在运行时根据决策规则的结果自动将工作包传送到某一个分支。

5·Combining this method with the K-nearest neighbor decision rule, a fixed neighborhood, decision algorithm is developed.

将该方法与K—最近邻判决规则结合，提出了用于判别的固定邻域判决算法。

6·Presents a new decision rule acquisition algorithm based on rough set and a practical decision rule presentation approach.

提出了一种基于粗糙集理论的决策规则获取算法及实用的决策规则表示方法。

7·At last, applying the distance graph of the reduced decision table, we propose a way to get the core of each decision rule.

最后，建立了一个利用约简决策表的距离图求决策规则的核值及最小决策算法的算法框架。

8·The user feature extraction algorithmic in this paper reference from attribute reduction and decision rule extraction of rough set theory.

本文中用户行为特征提取算法的设计主要借鉴了粗糙集理论中的属性约简与规则提取的思想。

9·But the attribute reduction is a NP problem, the attribution reduction and decision rule reduction will be solved by method of elicitation.

但是属性约简是一个NP问题，对属性的约简和决策规则的约简只能通过启发式算法实现。

10·The most concise decision rule set that satisfies condition of mean decision power is regarded as final reduction result in the new reduction model.

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。