搜索资源列表
RS-weights-slop
- 基于粗糙集理论的边坡稳定性评 价中因素权重确定方法的研究-Weight determination method based on rough set theory Slope Stability Evaluation factors right
TDS
- 基于模糊粗糙集的二维直方图阈值图像分割方法，隶属度函数采用S函数-Membership function based on fuzzy rough set of two-dimensional histogram threshold image segmentation method, using the S function
cucaojisuanfa
- matlab粗糙集算法，主要使用于神经网络和支持向量机等算法的预处理，可以有效地筛选数据-matlab rough set algorithm, mainly used in the pre-processing of the neural network and support vector machine algorithm can effectively filter the data
13133498RSAttributeReduction
- 介绍粗糙集matlab源程序的，希望大家一起探讨-Introduce rough set matlab source code, I hope you explore
simm-matrix
- THIS CODE TO COMPUTE SIMILARITY MATRIX OF ROUGH SET
cucaoji
- 本程序对简约的粗糙集程序进行了matlab编导，从而能够计算粗糙集的权重、约简等-This procedure is simple rough set procedures matlab director thus able to calculate the weight of rough set reduction
simulation
- 涵盖目前识别和智能计算的理论和方法，包括支持向量机，神经网络，决策树，粗糙集理论，模糊集理论，和遗传算法-Covers the recognition and intelligent computing theory and methods, including support vector machines, neural networks, decision trees, rough set theory, fuzzy set theory and genetic algorithm
Custom-Evaluation
- 提出一种基于粗糙集与支持向量机的客户动态评估方法。根据客户群特点从当前价值、潜在价值和附加价值三个维度分析并构建客户评估指标，利用指标的年增幅率监测客户价值的变化规律。应用粗糙集布尔推理算法、粒子群算法实现连续属性离散化和知识约简。通过10-重交叉验证和网格搜索技术获取最优惩罚因子与核参数，缩放样本数据集并完成支持向量机一对一分类器的训练与测试。结果表明该评估方法能够实现周期性的客户价值评估与细分，具有很强的泛化能力。- A customer dynamic evaluation method
Stock-Trading-Using-RSPOP
- 股票买卖RSPOP一种新型的基于粗糙集的神经模糊方法-Stock Trading Using RSPOP A Novel Rough Set-Based Neuro-Fuzzy Approach
rosetta1.0.1
- Rosetta是由挪威科技大学计算机与信息科学系和波兰华沙大学数学研究所合作开发的一个基于Rough集理论框架的表格逻辑数据分析工具包，包括了计算核和图形用户界面。功能强大，使用方便。-Rosetta is to develop a theoretical framework based on Rough Set by the Norwegian University of Science and Technology Computer and Information Science, Univ
Rough_Set
- 粗糙集理论， 粗糙集理论， 粗糙集理论， -Rough set theory, rough set theory, rough set theory, rough set theory, rough set theory, rough set theory,
RoughSetReduct_Sln
- 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
value-reduce
- 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
fuzzy_date_mining
- 粗糙集扩展模型及其在数据挖掘中的应用研究-Extended rough set model and its application in data mining research
fs_neighbor
- 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
Presentation.FNN.newh
- It is a powerpoint for presenting the neural network which is related and implemented with rough set and fuzzy system
the-matrix-of-roug
- 针对粗糙集中上、下近似集的求解问题，根据关系的矩阵表示和矩阵运算具有简便直观的特点-For rough set upper and lower approximations to solve problems, according to the relationship matrix and matrix operation is simple and intuitive features
rougtset.RAR
- 粗糙集（Rough Set）是数据挖掘中常用的工具，它是波兰数学家Z.Pawlak 在1982 年提出的一种关于数据分析和推理的理论，它能从数据库的大量数据中揭示出隐含的、先前未知的并有潜在价值的信息，做出归纳性推理，帮助决策。 现在，世界已经进入信息时代，知识和信息的爆炸性已经毋庸置疑了，所以如何从浩如烟海的繁琐数据中寻找规律并从中筛选出有价值的信息已受到特别关注，而粗糙集便是其中强有力的工具之一。
Based-on-rough-set-decision-applica
- 不断变化的复杂信息系统，不可能只是固守已有的知识与规则-Changing, complex information systems, not just stick to the existing knowledge and rules
Rough-set-decision-radar
- 势评估、对敌方实行电子干扰提供重辐射源识别技术主要面临以下一些匾待解决的问题：首先，-Potential assessments, the implementation of electronic jamming of enemy heavy emitter recognition technology to provide some of the following plaque to be facing major problems: first,