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本程序是一个关于粗糙集属性约简启发式算法的实现，不过只有执行文件-this procedure is a rough set of attribute reduction heuristic algorithm to achieve, but only the implementation of documents
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该系统实现粗糙集合中的分辨矩阵与分辨函数的约简方法，该方法可以求出信息系统的属性约简-the system to achieve the rough set to distinguish function matrix and tell about Jane, The method can be used to find information system attribute reduction
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通过不同方法进行粗糙集属性约简matlab完整程序，便于进行对比,By different methods of rough set attribute reduction matlab a complete program, to facilitate comparison
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粗糙集属性约简过程中的下近似及上近似域的matlab实现-Rough set attribute reduction process under the domain of approximate and matlab
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Rose2里含有好多粗糙集的算法，可以实现数据预处理约简，求关联规则，求聚类和分类，非常实用。-Rose2 contains a lot of rough set algorithm, can achieve reduction of data preprocessing, find association rules, clustering and classification requirements, very practical.
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基于粗糙集理论中属性相对约简的软件，java-Rough Set Theory of Attribute Relative Reduction of the software, java
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粗糙集(Roug Set)属性约简源代码(C/C++实现) -Rough Sets (Roug Set) attribute reduction source code (C/C++ implementation)
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属性约简是粗糙集理论中的一个重要内容,其核心任务是得到属性集的核。本文提出了一种基于二进制运算
的属性核求解算法,该算法简单直观且易于实现。我们通过设计C语言程序验证了算法的有效性。
-Attribute reduction is considered one of the most important contents of the rough set theory,and core obtai-
ning plays an essential role in attribute
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基于遗传算法的粗糙集属性约简。数据库使用的是ACCESS数据库，编程环境VS2008。-Rough Set Attribute Reduction Algorithm Based on GA
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粗糙集的简单入门介绍。用于模式识别和属性约简。-Rough set to introduce a simple entry. For pattern recognition and attribute reduction.
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采用粗糙集理论利用可辨识矩阵法对属性决策表进行约简-Based on rough set theory, discernable matrix is improved and applied to attributes reduction.
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本程序对简约的粗糙集程序进行了matlab编导，从而能够计算粗糙集的权重、约简等-This procedure is simple rough set procedures matlab director thus able to calculate the weight of rough set reduction
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粗糙集属性约简,求出多余的属性，把最重要的属性保留下来-rough set value reduction
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基于遗传算法的粗糙集条件属性约简算法，运算效率较高。-The algorithm of rough set reduction based on genetic algorithm，with high efficiency.
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粗糙集属性约减的几种方法，包括基于正领域与信息熵等，简单通俗易懂。-Several methods of rough set attribute reduction, including the field of information based on positive entropy, simple easy to understand.
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依据Neighborhood classifier编写的.m程序-Metric space Neighborhood Rough set Reduction Classifier Norm
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可以嵌入weka中的粗糙集约简算法，进一步扩充weka的数据挖掘功能-Weka can be embedded in the rough set reduction algorithm to further expand weka data mining functions
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粗糙集 各种简约 和 规则生成 各种好用-Rough set all kinds of rules simple and easy to generate a variety of
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属性约简是粗糙集理论中最核心的问题。文章阐述了基于信息熵、可辨识矩阵、遗传算法、 Johnson 等粗糙集属
性约简算法流程，指出了粗糙集属性约简算法的现有问题及发展趋势，促进粗糙集属性约简的研究进一步发展。(Attribute reduction is the most important problem in rough set theory. In this paper, the rough sets based on information entropy, discernibilit
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粗糙集是一种软计算方法，此程序是用来处理粗糙集约简，使约简更方便得出。(Rough set is a kind of soft computing method, which is used to deal with rough set reduction.)
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