搜索资源列表
roughsetsandneuralnetworks
- 把粗糙集和神经网络联合在一起的经典的论文资料，结合了粗糙集优秀的简约功能和神经网络强大的自适应功能-The rough sets and neural networks to bring together the classic papers of information, combined with rough set excellent functionality and simple robust adaptive function of neural networks
gjccj
- 改进的基于粗糙集的图像平滑的文章，改进的基于粗糙集的图像平滑，改进的基于粗糙集的图像平滑-Improved Image Smoothing Based on Rough Set of articles, improved image smoothing based on rough sets, improved image smoothing based on rough sets
datamining
- 数据挖掘的讲义，里面有粗糙集等等各处搜集到的相关论文-Data mining lecture notes, which have rough sets, etc. to collect the relevant papers everywhere. .
Rosetta
- 简单介绍粗粗糙集的起源、应用领域、发展前景。还有就是介绍了简单的应用，适合初级者学习。-Brief introduction to the origin of rough rough sets, applications, development prospects. There is described a simple application, suitable for beginners to learn.
7.-A-comparative-study-of-fuzzy-sets-and-rough-se
- this paper reviews and compares theories of fuzzy sets and rough sét. Two approaches for the formulation of fuzzy sets are reviewed, one is base on many-valued logic and the other is based on model logic-this paper reviews and compares theories of fu
10.1.1.100.7683
- CONCEPT APPROXIMA TIONS BASED ON ROUGH SETS AND SIMILARITY MEASURES
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
classificiation-algorithm-overview
- 机器学习领域经典分类算法综述，包括Decision Tree（ＩＤ３、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法），三种典型贝叶斯分类器（朴素贝叶斯算法、TAN算法、贝叶斯网络分类器），k-近邻 、 基于数据库技术的分类算法（ MIND算法、GAC-RDB算法），基于关联规则（CBA:Classification Based on Association Rule）的分类（Apriori算法），支持向量机分类，基于软计算的分类方法（粗糙集（rough set）、遗传
paper2
- 基于优势关系粗糙集的自主式学习模型 邓维斌,王国胤,胡峰-Based on Dominance Rough Sets autonomous learning model- .Classification, WANG Guo Hu Feng
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