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一种基于组合变换的粗糙集属性约简算法，从数据库中下载的毕业论文哦-Combined transformation based on rough set attribute reduction algorithm, thesis downloaded from the database, oh
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rosetta是一个粗糙集的处理软件，里面集成了大量的粗糙集的算法，里面有算法可以对数据进行预处理，可以对数据的属性和属性值进行约简。-rosetta is a rough set of processing software, which integrates a large number of rough set algorithm, which has the data preprocessing algorithm, the data can be attributes and attr
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该程序是粗糙集代码，里面对程序调试有说明，按照说明可以直接调试，实现约简，提取规则-The program is rough set code, which are described on the program debugging, follow the instructions can debug, to achieve reduction, extraction rules
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用java编写的基于差别函数的粗糙集属性约简-Written with java function based on differences in rough set 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-Through different methods of rough set attribute reduction complete program matlab
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本文提出一种综合粗糙集与支持向量机的 Web 文本分类模型，利用粗糙集的属性约简方法，减少支持向量机训练数据的维数，提高 Web 文本分类的性能与效率.-This article advances a Web text classification model which synthesis rough set and support vector machine. Using the rough set’s attribute reduction method to reduce the di
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一种求上近似约简的快速启发式算法.粗糙集（Rough Set，RS）理论是一种刻画不完整性和不确定性的数学工具，能有效地分析和处理不精确、不一致、不完整等各种不完备信息，并从中发现隐含的知识，揭示潜在的规律。-One kind of demand reduction on the approximation of fast heuristic algorithms rough set (Rough Set, RS) theory is a characterization of uncertai
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粗糙集属性约简的matlab小程序以及一些可读文献-Rough set attribute reduction procedures as well as some small matlab readable literature ~ ~ ~ ~
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新基于邻域粗糙集的前向贪心的属性约简算法-New neighborhood-based forward greedy rough set attribute reduction algorithm
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myeclipse平台上java写的有关粗糙集属性约简的源代码。-Myeclipse platform Java write about rough set attribute reduction of source code.
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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ACCESSS数据库，编程环境VS2008。，
-Genetic Algorithm-based rough set attribute reduction. Database the use ACCESSS database programming environment VS2008. ,
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粗糙集属性约简的c#代码，很好用的哦。
人工智能相关-Rough Set Attribute Reduction
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这是一个基于粗糙集理论的信息系统约简的算法matlab实现-This is based on the information systems of rough set theory reduction algorithm matlab
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MATLAB粗糙集属性约简库（内含实例，原创）
函数M文件：
TargetOptFcn.m ------------ 遗传算法的目标函数
PositiveRegion.m --------- 计算正域
LowerApproximation.m ------ 计算下近似
IsSub.m ------------------- 判断集合A是否是集合B的子集
EquivalentClassSet.m ----- 基于R分类的所有等价类的集合，即U/R
EleEquival
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一种基于粗集的值约简方法 一种粗糙集值约简算法及其应用 基于粗糙集的一种属性值约简算法及其应用-A value reduction method based on rough set a rough set value reduction algorithm and its application based on rough set an attribute value reduction algorithm and its application
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利用邻域粗糙集的属性约简：
从数值数据计算约简，属性数据和它们的混合物与邻域粗糙集。
两种邻域的使用：清晰和模糊。-Use of neighborhood rough set attribute reduction: reduction from numerical data, attribute data and their mixtures with neighborhood rough set. The use of two kinds of neighborhoods: clea
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粗糙集属性约简代码，可以运行，可以运用到不同场合，可作为参考-Rough set attribute reduction code can run, can be applied to different occasions, can be used as reference
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Unsupervised fuzzy-rough set-based dimensionality reduction
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该源代码是粗糙集属性约简，适用环境为matlab，属于常规属性约简-The source code is rough set attribute reduction, for the environment for matlab, part of the regular attribute reduction
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可以实现粗糙集的整个算法，从上下近似、属性约简、属性重要度到决策规则的输出和规则的确定性因子，全部实现。内附测试数据，有详细的注解，可以实现与数据库的直接连接。-Rough set can be achieved throughout the algorithm, from top to bottom approximation, attribute reduction, attribute importance to the uncertainty factor output of decis
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