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词语约简拆分为汉字：
约字的拼音、笔画、偏旁部首、笔顺、繁体字，约字字源来历，约字演变
1. 约 [yuē]2. 约 [yāo]约 [yuē]绳子。拘束，限制：～束。～法。制～。～定俗成。共同议定的要遵守的条款：立～。条～。契～。事先说定：～见。～会。邀请：～请。～集。节俭：节～。俭～。简要，简单：由博返～。简～。大略：～计。……
简字的拼音、笔画、偏旁部首、笔顺、繁体字，简字字源来历，简字演变
古代用来写字的竹板：竹～。～牍。～策。～册。书信：～帖。～札。信～。书～。不复杂：～单。～易。～略。～要。～便。～洁。～练。册繁就～。言～意赅。选择：～拔。～选。～任。姓。……
汉语拼音：yuē jiǎn
俭约简易。
晋 皇甫谧 《三都赋》序：“初极宏侈之辞，终以约简之制。”《三国志·魏志·和洽传》“俭素过中，自以处身则可，以此节格物，所失或多” 裴松之 注引 晋 孙盛 曰：“ 魏 承 汉 乱，风俗侈泰，诚宜仰思古制，训以约简，使奢不陵肆，俭足中礼。”
When incremental objects are added into a decision information system, a new attribute reduction can be got by this method quickly.
当有新的数据对象被加入决策表，可有效提高属性约简的效率。On the basis of that, redundancy attributes are eliminated using rough set reduction algorithm. Reduction attributes and rules are gained.
在此基础上，利用粗糙集约简算法剔除冗余属性，得到约简属性，并进行规则提取，最后进行实例研究检验。On the basis of that, redundancy attributes are eliminated by RS reduction algorithm. Reduction attributes and rules are gained.
在此基础上，利用约简算法剔除冗余属性，获取约简属性，并进一步提取决策规则。Many algorithms about attribute reduction take the core as the beginning, the computation is complicated.
很多属性约简算法以核为起点，计算繁杂。At last, we propose the concept of E-relative reduct of condition attributes and give its discernibility function computing approach.
最后给出条件属性的E-相对约简的概念及其区分函数求法。In the theory of rough set, attribute reduction of decision table was an important research subject.
在粗糙集理论中，决策表的属性约简是一个非常重要的研究课题。Attribute reduction is one of the core issues of the rough set theory and it has become a hot topic of the rough set theory research.
属性约简是粗糙集理论的一个核心问题，近年来已经成为粗集研究的热点。For brevity I shall confine myself here to those definitions of saving and investment which correspond to Income No. I.
为了约简起见，此处我将限于谈及那些与第一号收入相当的储蓄与投资的定义。The Attribute reduction of Information system is one of the focus of Rough Set Theory and Applied research.
信息系统的属性约简是所有粗糙集理论和应用研究的焦点问题之一。下近似约简
compatible reduction.
上近似约简
upper approximation reduction.
粗糙分布约简
Rough distribution reduct
近似分布约简
Approximate distribution reduction.
粗糙近似约简
Rough positive approximate reduction
最大分布约简
maximum distribution reduction
粗集动态约简研究
Study for Dynamic Reduct Based on Rough Set
粗糙集属性约简的基因算法
Reduction of Rough Set Attributes Using Genetic Algorithm
广义决策约简同相对约简的关系
Relationships between Generalized Decision Reduction and Relative Reduction
粗糙集理论中的求核与约简
On finding core and reduction in rough set theory
不一致决策表的分配序约简
Ordered Assignment Reduction in Inconsistent Decision Tables
结合粗集理论的动态属性约简研究
Dynamic Reduct Research based on Rough Set Theory
基于属性集等价类划分的数据约简
Data Reduction Based on the Equivalence Class Partition of Attribute Set
决策表的论域约简及其粒度原理
Universe Reduct of a Decision Table and its Granular Principle
基于粗糙集属性约简的数据挖掘技术
A Study on Datum Tapping Technology Based On Unrefined Attribute Reduction
属性约简在空间电力负荷预测中的应用
Application of Attribute Reduct Method in Spatial Load Forecasting
基于系统熵的属性约简的简化差别矩阵方法
Method of discernibility matrix for attribute reduction based on system entropy
粗糙集理论中属性约简的增量式算法
Incremental Algorithm for Attribute Reduction in Rough Set Theory
属性约简是粗糙集理论的核心内容之一。
Attribute reduction a kernel part of rough set theory.
摘要知识约简是粗糙集理论的核心问题。
Reduction of knowledge is the core of rough set theory.
决策表属性约简的代数观和信息观分析
Attribute reduction of a decision table in algebra view and information view
知识约简是粗糙集理论得核心问题之一。
An attribute reduction is a mostly content which the rough sets theory studies.
知识约简是粗糙集理论的核心问题之一。
An attribute reduction is a mostly content which the rough sets theory studies.
一种基于粗集理论属性约简的粗化算法
A ROUGH ALGORITHM FOR ATTRIBUTE REDUCTION BASED ON ROUGH SET THEORY
阐述了安全协议的自动生成 约简 优化模型。
This paper describes a model of automatic generation and reduction of security protocols.
基于粗糙集的电机机械状态特征的约简研究
Research on Features Reduction in Mechanical Condition Recognition about Motors based on Rough Set
不协调决策表正域约简与其它约简的关系
The relationship of the positive domain reduction with other reductions of inconsistent decision tables
一种基于约简树的决策表属性约简方法
An Attribute Reduction Approach for Decision Table Based on Reduction Tree.
粗糙集理论中, 属性约简是知识挖掘得核心。
Attribute reduction and relative attribute reduction are a core of KDD.
粗糙集理论中，属性约简是知识挖掘的核心。
Attribute reduction and relative attribute reduction are a core of KDD.