粗糙集

一种基于容错粗糙集的Web搜索结果聚类方法

A Web Search Result Clustering Based on Tolerance Rough Set

粗糙集理论在Web网页搜索中的研究

Research on an Intelligent Search on Web Pages Using the Rough Set Theory

关于粗糙集的若干注记（Ⅰ）&粗糙集与Stone代数

Some Notions on the Rough Sets & Rough Sets and Stone Algebras

叙述了利用粗糙集（RoughSet）理论实现的Linux系统安全日志分析方法。

This paper presents an application of rough set theory for security log analysis of Linux systems .

在本文的最后，介绍了开发成功的基于粗糙集的2个GIS智能决策系统。

At last , this paper introduces 2 IDSSes based on Rough Set under GIS environment .

基于实例推理和粗糙集理论的智能冲模CAD关键技术研究

Key Techniques Researching on the Intelligentized Die CAD Based on Case-Based Reasoning and Rough Set Theory

基于RBF网络的粗糙集属性约简策略

Reduction of Rough Sets Attributes Based on RNF Networks

对Bayesian粗糙集模型的讨论

A Discussion to the Bayesian Rough Set Model

自适应控制；粒度计算；HVDC；粗糙集。

Adaptive control , granular computing , HVDC , rough sets .

FCM聚类算法和粗糙集在医疗图像分割中的应用

Medical image segmentation based on FCM clustering and rough set

基于粗糙集的CMM关键过程域的选择

Selection of CMM Key Process Areas Based on Rough Set

这种方法首先利用K均值聚类对数据进行预处理，然后利用粗糙集对属性进行约简，最后再用支持向量机进行故障诊断。

First , data are pretreated through K-means clustering . Then , attributes are reduced by using rough sets . At last , SVM diagnoses default .

针对基于粗糙集理论提取完全的决策规则是NP难问题，提出一种获取统计意义下的完全的简化规则的算法。

It is a NP difficult problem to generate complete decision rules based on rough set theory .

采用了粗糙集的方法对故障案例对应的故障征兆进行简约并计算征兆值对于它所表示的BIT信息的重要度。

The Rough Sets theory is used to process the fault symptoms to reduce the number and dimension of the symptoms and to calculate the weightiness of every symptom .

本文从提高数据挖掘的效率和精度的目的出发，对BP神经网络预测模型进行了有益的改善，同时给出了基于粗糙集理论的并行遗传属性约简和BP神经网络相结合的客户流失预测方法。

This paper 's purpose is to improve the efficiency of data mining , it has advanced data mining method based on rough set and artificial neural network .

粗糙集理论（RST）及其在古陶瓷分类上应用的初探

Introduction on rough set theory and its application to ancient ceramics classification

有限Boole格上粗糙集模型的代数结构

Algebraic Structures of Rough Set Models in a Finite Boole Lattice

粗糙集理论（RoughSets）就是在这样背景下不断发展起来的一种用于不精确、不确定数据挖掘与处理的新型数学理论。

Rough set theory ( Rough Sets ) is in the context of the continuous development of such a kind used for imprecise and uncertain data mining and processing of the new mathematical theory .

基于粗糙集理论的Prim算法的推广

Based on Rough Set Theory Prim Algorithm Promotion

提出了两种聚类方法，一种是基于粒子群优化的模糊聚类算法，一种是基于粗糙集的K-means聚类算法。

One is the fuzzy clustering algorithm based on particle swarm optimization . The other is a K-means clustering algorithm based on rough sets .

其评价结果与现场监测得到的结果进行对比分析，确定出各模型选取的有效性和局限性，进而提出模糊C均值聚类算法和粗糙集进行耦合应用在边坡稳定性分析中。

Comparing the evaluation results with the field monitoring results to determine the validity and limitations of each model selection , and then presents a fuzzy C means clustering algorithm and rough set of coupling used in slope stability analysis .

通过测定纯铜绿微囊藻的培养过程中各指标参数与MC含量，进行单因子相关性分析及粗糙集分析。

Determination of each indicator parameters and algal toxin content in the process of develop pure Microcystis . The data analyse for single-factor correlation analysis and rough set theory .

因此提出了应用粗糙集于生产环境数据挖掘的一种系统方法，并应用UCI的数据集对该方法进行了检验。

In this paper , a systematic method based on rough sets for mining production data sets is proposed .

提出了基于可变精度粗糙集（VPRS）的风险分析方法。

The risk analysis method based on variable precision rough set ( VPRS ) was proposed .

虽然粗糙集理论和Vague集理论都是研究信息系统中信息的不确定性问题，但两者的出发点、特点等都不同，它们之间是互补的关系。

Though rough set and vague set theory are used to study the information uncertainty in the information systems , the starting point and characteristics of both are different , and they are complementary .

粗糙集理论用于对数据表的分类分析处理，粗糙集分析直接从现有数据的上下近似入手，已被成功地应用在生物信息学、经济学、金融、医药、web和文本挖掘。

Rough Set theory deals with the classification analysis of data tables . The main goal of the rough set analysis is synthesize approximation of concepts from the acquired data . It has been successfully applied in bioinformatics , economics and finance , medicine , web and text mining .

最后在MATLAB中进行了仿真，仿真结果表明基于神经网络和粗糙集理论的锅炉水位控制系统在控制质量上优于传统的三冲量PID控制系统。

At last , we simulate the control process in the MATLAB software . The result shows the control system based on Neural Network Theory and Rough Set Theory outshines the conventional three element PID control system with regard to the object in this paper .

以粗糙集理论中的信息系统属性为主要工具，将复杂的RBF神经网络分层约简，剔除其中不必要的属性，构建了优化的粗集-神经网络模型。

In this paper , knowledge representation system of rough set theory is taken as a major tool to delaminate the complex RBF neural network and in which unnecessary properties are eliminated . An optimized neural network model is established .

本文研究了基于粗糙集理论建立模糊模型的方法，提出了扩充与整定的概念，并运用所提出的方法建立了脉冲TIG焊动态过程模型。

This paper discusses the method of building fuzzy model based on the rough set theory , presents concepts of adjustment and expansion , and the dynamic model of pulse TIG welding process is built by the proposed method .

粗糙集具有强大的数值分析能力，而BP神经网络具有准确地逼近收敛能力，所以将粗糙集和BP神经网络串行结合，建立一种基于粗糙集&BP神经网络的高新技术项目投资风险评价模型。

Rough Set a powerful numerical analysis capabilities , and BP neural network is accurate approximation convergence capability , and it will be rough set of serial BP neural network , based on the establishment of a rough set - BP neural network investment in high-tech projects risk assessment model .