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- function rough set 函数粗集
- The advantage of Rough set is the ability to acquire the knowledge. 粗糙集理论的要点是将分类与知识联系在一起，粗糙集理论认为知识即是将对象进行分类的能力。
- Reduction of knowledge is the core of rough set theory. 摘要知识约简是粗糙集理论的核心问题。
- This paper presents a rough set theory based on the text classification. 文章提出了一种基于粗糙集理论的文本分类方法。
- Granular computing is emerging as a powerful tool for rough set theory. 粒度计算是粗糙集理论研究的一种强有力的工具。
- The automatic generation algorithm of discernibility function 's disjunctive normal form(DNF) is studied based on rough set theory. The tansformation method form discernibility matrix to conjunction matrix is presented. 基于粗糙集理论,研究分辨函数(DF)的析取范式的自动生成算法,提出由分辨矩阵到合取项矩阵(CM)的计算方法。
- Has analyzed the rough set in the weather forecast function, has studied the case base attribute separate method, and through the discernibility matrix method to reduct attribute, reduced the model retrieval time and the spatial expenses. 分析了粗糙集在气象预测中的作用,研究了范例库属性离散化的算法,并通过分明矩阵的方法对属性约简,减少了范例检索的时间和空间开销。
- First we compare rough sets and random sets,and derive the relationship between belief function and lower probability. 首先将粗糙集与随机集作了比较，并由此得出了信任函数与下概率的关系。
- 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。
- In addition, we process the polysemous problem using rough sets. 本系统还利用模糊集来处理多义词的问题。
- The rough communication is a new application of rough sets theory. 信息粗传递是粗糙集理论的一个新的应用。
- In addition,we process the polysemous problem using rough sets. 另外,本系统还利用模糊集来处理多义词的问题。
- Based on rough set theory, a new fault diagnosis method of power electronic circuits was presented. 基于粗糙集理论,提出了一种电力电子电路故障诊断的新方法:粗糙集方法。
- A new method of rough set and neural network for fan trouble diagnosis is presented. 提出了一种粗糙集理论与神经网络集成的风机故障诊断方法。
- Rough set theory and synthesis reasoning theory can be integrated and generalized successfully. 实现了对粗糙集理论和综合推理理论的融合和成功扩展。
- A pruning algorithm for RBF (radial basis function) neural network based on rough sets is proposed, and this algorithm is compared with the existing methods. 提出了一种基于粗糙集理论的RBF神经网络剪枝算法，并将这种算法与现有剪枝算法相比较。
- Through these studies, the study of rough set's algebraic properties are spreaded to right involution groupoid. 这些结果将粗糙集代数性质的研究扩展到右对合广群这个代数系统中。
- With the basic principle of rough set, customers dig out the decision rules they wanted. 利用粗糙集理论的基本原理,挖掘出用户需要的决策规则。
- Fig. 13 Plot of test function with exact (solid line) and noisy values. The function is designed to have the same behavior as the experimental data analyzed by rough sets. 图13精确值(实线)和噪声值的测试函数图形.;该函数设计成具有与用粗糙集方法分析的实验数据具有相同的行为
- In this paper,the authors present a method combined rough set(RS) with least square support vector regression(LS-SVR). 该文提出结合粗糙集(RS)和最小二乘支持向量回归(LS-SVR)的方法。
