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1)  attribute reduction
属性约简
1.
A attribute reduction algorithm based on attribute dependence;
一种基于属性依赖的属性约简算法
2.
An efficient attribute reduction algorithm by modificatory discernibility matrix;
基于修正差别矩阵的高效属性约简算法
3.
An attribute reduction algorithm of rough set based on discernable matrix;
粗糙集属性约简的完备算法
2)  attributes reduction
属性约简
1.
A method for attributes reduction based on scan vector;
基于扫描向量的属性约简方法
2.
An Extending Method and Attributes Reduction of Rough Set Theory Based on Nearness Relation;
一种基于相近关系的粗集理论扩展方法及属性约简
3.
Extended Model and Attributes Reduction of Rough Set to Incomplete Information Systems;
基于粗糙集的不完备信息系统的模型扩展和属性约简
3)  attribution reduction
属性约简
1.
Variable precision attribution reduction based on parallel artificial immune algorithm;
基于并行人工免疫算法的变精度属性约简
2.
Quickly attribution reduction algorithm of information system;
一种信息系统的快速属性约简算法
3.
Novel attribution reduction algorithm of information entropy
一种新的信息熵属性约简算法
4)  Reduction of Attributes
属性约简
1.
A Study of Reduction of Attributes and Set Covering Problem;
关于属性约简和集合覆盖问题的探讨
2.
An Algorithm to Choose the Reduction of Attributes in Decision Analysis;
决策分析中属性约简的择优算法
3.
With the discernibility degree as heuristic information,a heuristic algorithm based on discernibility degree for reduction of attributes is presented,and the time complexity of this algorithm is analyzed.
属性约简是粗糙集理论研究中的核心内容之一,现已证明寻找最小约简是NP-hard问题。
5)  reduction of attribute
属性约简
1.
Condition information quantitybased reduction of attribute in consistent decision tables;
基于条件信息量一致决策表的属性约简
2.
The principle of attribute reduction is introduced,and the reduction of attribute is presented based on conditional information quantity,all serviceable logging attributes are optimally selected.
介绍属性约简的原理,在此基础上提出了基于条件信息量的数据约简方法,优选出有用的属性,并通过实例表明该方法是可行和有效的。
3.
Reduction of attribute is one of the important topics in the search of rough set theory.
指出现有粗糙集属性约简算法的不足,考虑并行遗传算法在处理大型数据库上的特有优势,将粗糙熵作为粗糙集不确定性的度量,给出一种求解信息系统约简集的三群体并行遗传算法。
6)  Attributes reduction
属性简约
1.
Two real world databases are tested, showing the validity of the entropy based attributes reduction algorithms.
本文定义了四种条件熵,并在此基础上提出了四种基于熵的方法,以用于粗糙集数据分析中的属性简约。
补充资料:
【约】
 (术语)谓某事约归于某局部也。其解如就字。就于人就于法即约于人约于法也。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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