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- Firstly, a new attributes reduction strategy (ARS) is discussed. 首先，提出一种新型的属性约简策略ARS(Attributes Reduction Strategy)。
- The attributes reduction of Rough Set is NP problem, and it makes Rough Set hard to use broadly in reality. 摘要粗糙集的属性约简属于NP问题，这就使得粗糙集很难在现实中得到广泛的应用。
- The attribute reduction and rules are gained. 对矩阵进行化简得到属性约简并生成规则。
- This paper proposes the concept of the decision table of the attributes reduction, and gives the method of the reducing attributes based on discernibly vector. 文章提出了决策表的区分向量的概念，并给出了利用区分向量进行属性约简的方法。
- Vindication reduced to 2 ranks for 10/20% attribute reduction. 辩护降低到两个等级，降低10/20%25的属性。
- We apply the number of attributes to the attributes reduction so that thet the spatial-temporal complexity of the NARIIS is less than that of the reduction strategy based discernibility matrix. 提出的约简算法把属性值的个数应用到属性约简上，使该约简算法的时间和空间复杂度都远小于基于区分矩阵的约简策略。
- Analysis results show that the model can implement attribute reduction. 分析结果表明，该模型可完成属性约简过程。
- Conventional algorithms for attributes reduction based on rough sets need to compute the time-consuming discernibility matrix and generate lots of attribute classes, thus they are of low efficiency. 摘要传统的基于粗集的属性约简须计算差别矩阵并生成大量的条件属性类，效率低，且很多算法还不完备。
- In order to get the reduction of attribute，the paper proposes a rough set attribute reduction algorithm based on AGA. 摘要 为了获得有效的属性最小相对约简，提出了一种基于自适应遗传算法的粗糙集知识约简算法。
- A judgment theorem and a discernibility matrix associated with the attribute reduction are presented. 然后给出了属性约简的判定定理和辨识矩阵并详细地研究了属性约简的基本性质。
- Simplified decision table and its attributes reduction 决策表化简及其属性约简方法
- Image Feature Attributes Reduction Based on PCA Pre-processing 基于PCA预处理的图像特征属性约简
- Finally,the equivalence properties between Boolean matrix representation and algebra representation of attribute reduction are proved. 最后证明了属性约简在布尔矩阵和代数两种不同表示下是等价的。
- After dynamically computing a core,attribute reduction can be effectively updated by utilizing the old attribute reduction. 该算法可通过快速更新差别矩阵;在动态求解核的基础上;利用原有的属性约简有效地进行属性约简的增量式更新;因而可提高属性约简的更新效率.
- In Data mining with Attribute-Oriented Generalization(AOG), attribute reduction and concept generalization could not part from concept hierarchy. 摘要 在面向属性归纳（AOG）的数据挖掘中，属性归约及概念归纳都离不开概念层次。
- Based on the attribute reduction method of discernibility max, this paper improves discernibility matrix method and proves it theoretically. 基于属性约简的区分矩阵方法的思想，对区分矩阵方法进行了改进，并给予了理论上的证明，同时对优化方法进行了分析与探讨。
- In the paper,some shortcomings of Zhi Tian-yun s the attribute reduction algorithm based on binary discernibility matrix are pointed out. 指出支天云的二进制可分辨矩阵约简算法存在的不足,给出简化的决策表定义和基于二进制可分辨矩阵的属性频率函数的定义。
- Potassium, cuprum and cobalt are found to be the key factors influencing the titer of erythromycin by co-using attribute reduction EDMAR in rough set and cluster analysis. 通过粗糙集理论的EDMAR属性约简算法结合聚类分析，确定钾、铜、钴是影响红霉素效价的主要因素。
- The judgment method of irreducible elements is first presented,and an approach to attribute reduction in concept lattices is developed based on join irreducible elements. 首先给出了概念格中不可约元的判定方法。基于交不可约元,提出了一种概念格的属性约简方法。
