1) RAVT
粗糙属性向量树
2) measurement of roughness
粗糙性度量
3) attribute classification rough degree
属性分类粗糙度
1.
The algorithm takes a novel measure-attribute classification rough degree as the heuristic of choosing attribute at a tree node, which more synthetically measures contribution of an attribute for classification than other measures in Rough set and is simpler in calculation than information gain an.
采用一个新的选择属性的测度——属性分类粗糙度作为选择属性的启发式,该测度较Rough中刻画属性相关性的测度正区域等更为全面地刻画了属性分类综合贡献能力,并且比信息增益和信息增益率的计算更为简单采取了一种新的剪枝方法——预剪枝,即在选择属性计算前基于变精度正区域修正属性对数据的初始划分模式, 以更有效地消除噪音数据对选择属性和生成叶节点的影响。
2.
For the problem that the measures for measuring attribute classification ability in Rough set can only reflect the size of the object set discriminated by attributes but the synthetic contribution ability of attributes for classification,a new synthetic measures —attribute classification rough degree(ACRD) is proposed for measuring attribute classification contribution ability in Rough set.
针对Rough集中刻画属性分类能力的测度正区域等仅能反映属性可辨识对象集大小,不能反映属性对样本的划分状况影响分类的其它因素的问题,提出了Rough集中度量属性分类贡献能力的综合测度———属性分类粗糙度,对其特性进行了分析,给出了用该测度以及信息增益等分别作为决策树算法选择属性的启发式对UCI几个数据集的挖掘结果。
4) Rough Information Vector
粗糙信息向量
1.
Algorithm of decision rules mining based on rough information vector
基于粗糙信息向量的一种决策规则获取算法
5) RSVM
粗糙支持向量机
1.
With consideration of acquiring the equivalence information among data,based on the theory of rough sets and SVM,a new model called rough support vector machine(RSVM)was proposed.
为此,基于粗糙集理论和支持向量机思想,提出了一种新的支持向量机模型——粗糙支持向量机(RSVM)。
6) rough variable
粗糙变量
1.
Strong Convergence for Independent Rough Variables Sequence;
独立粗糙变量序列的强收敛性
2.
Strong Limit Theorems for Independent Rough Variables Sequence
独立粗糙变量序列的一类强极限定理
3.
With the width of study in rough-set theory, just to study the real-valued rough variables is not satisfied other subjects and technical demands.
2002年,刘宝碇建立了信赖性理论(TrustTheory),信赖性理论是以公理化方法研究粗糙变量性质及其应用的理论。
补充资料：粗糙
①毛糙，不精细：木质粗糙。②(行为)马虎，不细致：办事粗糙｜做工粗糙。③粗暴：只因性子粗糙，人缘不好。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条