搜索资源列表
discriminable_matirx_builder
- 实现了粗糙集理论的可辨识矩阵的生成，输入为一个文本文件的数据方阵，以数据之间用Tab分开，用回车键分行，用Skowron用可辨识矩阵的方法实现对不分明类的生成。压缩包里面还有一个测试数据。-realization of the rough set theory of identification matrix generation, import text files to a data matrix. Data used to Tab between the separate branches
roughsetandBPneuronetwork
- 基于粗糙集理论和BP神经网络的分层递阶分类算法。-based on rough set theory and neural networks hierarchical classification algorithm.
Rest(2)
- matlab 粗制理论数 ，属性约简，值约简，规则生成，非常实用-matlab rough set theory
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
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
RSES
- 实现了粗糙集理论的好软件，它有效的解决了具有不完整和不确定性的问题-implement rough set theory ,efficiently solve incomplete and uncerten uncertain questions
core
- 属性约简是粗糙集理论中的一个重要内容,其核心任务是得到属性集的核。本文提出了一种基于二进制运算 的属性核求解算法,该算法简单直观且易于实现。我们通过设计C语言程序验证了算法的有效性。 -Attribute reduction is considered one of the most important contents of the rough set theory,and core obtai- ning plays an essential role in attribute
DMES
- 支持基于可识别性的经验建模和数据挖掘。它由许多用于通用机器学习和粗糙集理论的例程组成-Support based on the experience of identification in the modeling and data mining. It is used by many general-purpose machine learning and routine composition of rough set theory
reduce
- 采用粗糙集理论利用可辨识矩阵法对属性决策表进行约简-Based on rough set theory, discernable matrix is improved and applied to attributes reduction.
RosettaLearing
- 对粗糙集约简工具rosetta的使用方法的介绍，功能介绍的很全面，有需要的就下载吧-Tool rosetta on Rough Set Theory and the use of methods, the feature is fully described, there is need to download it
GIS
- 本文首先介绍了粗糙集理论的基本概念，包括等价关系、不可分辨关系、上下近似、粗糙集和简约；并且从空间数据挖掘、遥感影像处理、GIS 不确定性、GIS 数据分析、模糊地理对象建模和粗糙集与其它软计算方法的结合等六方面概述了粗糙集理论在GIS 数据处理中应用的进展-This paper introduces the basic concepts of rough set theory, including the equivalence relation, can not distinguish be
dxckj
- 本文首先介绍了粗糙集理论的基本概念，包括等价关系、不可分辨关系、上下近似、粗糙集和简约；并且从空间数据挖掘、遥感影像处理、GIS 不确定性、GIS 数据分析、模糊地理对象建模和粗糙集与其它软计算方法的结合等六方面概述了粗糙集理论在GIS 数据处理中应用的进展-This paper introduces the basic concepts of rough set theory, including the equivalence relation, can not distinguish be
Mcuj
- A simple method of data classification using rough set theory is described, as implemented by the tools in Alexander Ohra s software application ROSETTA
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
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
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
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,
rough-RBFcucaoji
- 粗糙集理论改进的RBF神经网络，适用性比较强，对RBF的优化有一定的作用-Rough set theory improved RBF neural network, strong applicability of optimization RBF has a certain role
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
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