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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
ccj
- 几篇粗糙集的论文文献，感觉不错，跟大家分享-Papers several rough set literature, I feel good, to share with you
shuxingyuejian
- 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
rst
- 基于粗糙集属性约简的算法，不错，可以-Rough set attribute reduction algorithm, a good
CAIM
- 粗糙集理论中连续属性离散化操作算法，matlab上运行，有数据集-Rough Set Theory discretization operation algorithm
rsyujian
- 粗糙集的属性约简 离散化，规则提取的方法有说明-rough set reduce
seqtree
- 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
sample
- java编写的。对粗糙集信息的样本进行约简-written in java. Information on samples of rough set reduction
2011
- 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
RSTT-CODE
- 粗糙集理论的属性约简方法及应用研究，很有用的哈-Rough set attribute reduction method and application, very useful, ha! ! ! !
Rough-Set-Attribute-Reduction
- 基于粗糙集的特征选择Matlab源程序。-Feature selection based on rough set.
Tutorial-for-Ziarko-model
- 粗糙集课件。里面有覆盖粗糙集模型和 Ziarko变精度粗糙集模型以及粗糙集程序-courseware. There are covering rough set model and Ziarko model
69491728rough-set-codes
- 胡清华邻域粗糙集源码，matlab源代码，方便可用(Hu Qinghua neighborhood rough sets source code, matlab source code, easy to use)
粗糙集属性约简算法综述
- 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 info
RSLibrary
- 粗糙集属性约简工具类，别人编写很不错，可以借鉴(rought set reduce utils , just for learn ,thank you)
featureselect_FW_fast
- 粗糙集，属性简约，能够提供良好的测试，需要做一些参数及内容调整(Rough sets, attribute parsimony, can provide good testing and need to do some parameter and content tuning)
11290323Reduction
- 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.)
带权重条件熵的属性约简算法
- 粗糙集理论中最重要的内容之一就是属性约简问题，现有的许多属性约简算法往往是基于属性对分类的重要性，如果属性约简的结果能满足用户实际需要的信息，如成本、用户的偏好等，那么约简理论将会有更高的实用价值。基于此，从信息熵的角度定义了带权重的属性重要性，然后重新定义了基于带权重的属性重要性的熵约简算法。最后通过实际例子说明，与基于属性重要性的熵约简算法相比，考虑权重的算法更加符合用户的实际需求。(Attribute reduction is o
RoughSetReduct_Sln
- 粗糙集属性约简的算法，呵呵呵呵额好的发热时(rough set fdvgbsbsbsbdfnydnh)
程序
- 邻域粗糙集的基因数据处理实现程序 基于MATLAB(Implementation program of neighborhood rough set)