粗糙属性向量树,RAVT英语短句,例句大全

粗糙属性向量树,RAVT
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

英文短句/例句

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
2.Rough Set-based One-class Support Vector Machine粗糙one-class支持向量机
3.The multi-information fusion quality judgment of spot welding based on rough sets基于粗糙集的点焊多信息融合的质量判定
4.Data-table decomposition algorithm based on rough set基于粗糙集信息量度的数据表分解算法
5.Uncertainty Measures Based on Rough Entropy in Ordered Information Systems序信息系统中基于粗糙熵的不确定性度量
6.Rough Entropy and Granularity Measure to Incomplete Information System Under the Reflexive Binary Relation自反二元关系下不完备信息系统的粗糙熵及粒度度量
7.A Model Based on Rough Set and Support Vector Machine for Credit Risk Assessment in Commercial Banks;基于粗糙集和支持向量机的商业银行信用风险评估模型
8.Rough Sets Theory and Attribute Reduct-Decision Rules Optimization in Information Systems;粗糙集与信息系统约简—决策规则优化
9.Rough Set Theory on the Interval-Valued Fuzzy Information Systems;区间值模糊信息系统上的粗糙集理论
10.Researches on Rough Set Extension Models in IISs;不完备信息系统粗糙集拓展模型研究
11.Research on Decomposition of Decision Information System Based on Rough Set Theory;基于粗糙集的决策信息系统分解研究
12.A Study on Rough Sets applied to Information Engineering Surveillance;粗糙集理论在信息工程监理中的应用
13.Reliability analysis to deal with imperfect information by rough set theory粗糙集理论处理不完备信息的可信度分析
14.Security Analysis of Electric Power Communication Networks and Electric Power Information Based on Rough Set基于粗糙集的电力通信网及电力信息安全分析
15.A Method of Rule Induction Based on Rough Set Theory in Inconsistent Information System基于粗糙集的不一致信息系统规则获取方法
16.Study on Decision Subdivision Based on Information Granularity and Rough Sets基于信息粒度与粗糙集的决策细化研究
17.Research on Knowledge Acquisition for Decision Information System Based on Rough Set Theory;基于粗糙集理论的决策信息系统知识获取研究
18.Study on Analysis Methods of Decision Making in Decision System with Incomplete Information Based on Rough Sets Theory;不完全信息下基于粗糙集的决策分析方法研究

相关短句/例句

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。