搜索资源列表
rough
- matlab粗糙集课件,共六讲，讲解matlab下如何使用rough sets-matlab rough set courseware, a total of six speakers to explain how to use rough sets under matlab
roughset
- 粗糙集理论的matlab实现代码，计算上、下近似集以及核属性和约简结果-Implementation of rough set theory matlab code to calculate the upper and lower approximation sets and the results of the nuclear properties and some simple
rs
- 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)
fs_entropy
- data reduction with fuzzy rough sets or fuzzy mutual information
fs_neighbor
- fuzzy rough sets or fuzzy mutual information
Rough_Sets_Case_Studies
- Rough Sets Case Studies
Rough_Sets_A_Tutorial
- Rough Sets A Tutorial describing rudiments of Rough Sets and applications
Rudiments_of_Rough_Sets
- Rudiments of Rough Sets Theory and its applications are depicted in this tutorial
parallel
- 一个并行粗糙集离散化算法，采用VC和MPI并行开发通信接口实现，目前速度最快的离散化算法。-A parallel algorithm for discretization of rough sets, using VC, and MPI parallel development of communication interfaces, the fastest of the discrete algorithm.
Matlabcode
- 粗糙集代码 data reduction with fuzzy rough sets or fuzzy mutual information fuzzy preference rough set based feature evaluation and selection -Rough code data reduction with fuzzy rough sets or fuzzy mutual information fuzzy preference rough set bas
datareduct
- 基于香浓熵的属性简约，用于属性约简，以便分类-data reduction with fuzzy rough sets or fuzzy mutual information
RoughSet
- 有关粗糙集算法的实现，里面有多个粗糙集的变种版本，学习粗糙集的好工具-On rough set algorithm, there are multiple versions of a variant of rough sets, rough sets a good tool for learning
rough-sets
- Rough set theory can be regarded as a new mathematical tool for imperfect data analysis.The theory has found applications in many domains,such as decision support, engineering, environment, banking, medicine and others.
Rough-Sets
- The Rough Sets experiments - Attribute Reduction-The Rough Sets experiments- Attribute Reduction
rough-set-and-neighborhood-rough-set
- 关于粗糙集和邻域粗糙集的基本理论和程序算例 本文在原始的邻域粗糙集约简程序基础上做了修改。 压缩文件包括：3个m文件，一个mat文件，一个pdf文档。 这个文档是我自己编写的，关于粗糙集和邻域粗糙集的一些基础知识讲解和邻域粗糙集的基础算例，邻域粗糙集程序使用说明，算例说明。 希望大家能交流学习。如果你没有积分，可以加我qq索取：379786867-Rough Sets and neighborhood rough set theory and the basic procedur
Rough Sets and Near Sets in Medical Imaging: AReview
- Rough Sets and Near Sets in Medical Imaging: AReview
Rough Sets in Medical Imaging: Foundations and Trends
- Rough Sets in Medical Imaging: Foundations and Trends
rough-sets--attributes-reduction
- 一个粗糙集的属性约简算法，有详细注解，并给出了简单实例，可以运行得出结果-rough sets attributes reduction
rough-sets
- 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.
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 information entropy, discernibilit