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- MATLAB的基础应用及粗糙集理论的基础知识（PDF）,The basis of MATLAB applications and rough set theory based on knowledge (PDF)
Fast attributer eduction
- 粗糙集理论属性约简的例子，基于MATLAB实现,This is the use of rough set theory
rough-set-reduct
- 粗糙集中用于数据约简的算法的matlab源代码-Rough set theory for data reduction algorithm matlab source code
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
roughsetattributioncut
- 粗糙集约简的matlab算法,包含了基本的约简算法-Rough Set Theory and matlab algorithm, including the basic reduction algorithm
roughset
- ,在MATLAB环境下对 学生自主学习成绩决策表进行了求解,分析了该决策表的上近似集、下近似集、不可分辨关系、约简、核集、属性依赖度的概念,从而 在原始数据的基础上得出了条件属性与决策属性间的关系。 -The knowledge theory based on rough set can help to simplify the knowledge proceeded from originaldata. In the paper it intro- duces the roug
codeofroughset
- 粗糙集的基本算法，包括数据补齐，属性约简，值约简，规则生成，非常实用。-Rough set theory is a new mathematical approach to imperfect knowledge. The problem of imperfect knowledge has been tackled for a long time by philosophers, logicians and mathematicians. Recently it became also a c
rough-set
- 粗糙集理论是一种基于对现实世界进行不确定描述的理论,属性约简是粗糙集理论的核心理论之一。对粗糙集理论进行阐述,并给出基于启发式的知识约简算法,最后结合MATLAB程序实例说明了该算法的可行性与有效性。-Rough set theory is based on the uncertainty of the real world is described in theory, attribute reduction is the core theory of rough set theory one
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.
RS-reduce
- 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
Rough-set_matlab
- 粗糙集和邻域粗糙集的matlab代码，包括基本理论与改进-Rough set theory and synthesis reasoning theory can be integrated and generalized successfully
高等应用数学问题的MATLAB求解(中文)全套课件
- 高等应用数学问题的MATLAB问题求解，线性、积分方程、代数方程、微分方程、数据插值、函数逼近问题、概率论与数理统计问题的计算机求解，模糊逻辑与模糊推理、遗传算法、小波变换、粗糙集理论等的应用。(Matlab problem solving of higher applied mathematics, computer solving of linear, integral, algebraic, differential, data interpolation, function approx