The theory of Rough Sets is specially fit for the application to Data-Mining because of its features.
这个特点使得粗糙集理论非常适合应用于数据挖掘。
The feasibility of applying theory of rough sets to the identification of fuzzy membership function is confirmed in this paper.
提出应用粗糙集理论辩识模糊隶属函数的可行性。
The method revises the knowledge fuzzy and the abuse of informationaccessing and processing by combining the theory of rough sets with fuzzy clustering approach.
该方法很好的结合了模糊聚类法和粗糙集理论，对知识的模糊性以及相关信息获取及处理的弊端都进行了修正。
Rough Sets theory has great superiority in Data Preprocessing because of its particular expression of knowledge, as well as it makes an effective means of knowledge Discovery in Database.
粗糙集理论由于其独特的知识表示方法在数据预处理方面有着得天独厚的优势，同时也成为数据库中知识发现的有效手段。
In this paper based on rough sets theory and neural network a new optimizing method of supplier 's choice is put forward.
本文提出了一种基于粗集理论与神经网络相结合的供应商优化选择新方法。
Rough set theory is a new mathematical tool to deal with vagueness and Uncertainty problem after probability theory, fuzzy sets, mathematical theory of evidence.
粗糙集理论是继概率论、模糊集、证据理论之后的又一个处理不确定性问题的新型数学工具。
The discretization of real value attributes is one of the most main problems in rough sets theory.
连续属性的离散化是粗糙集理论的主要问题之一。
The effect extent of soil property for wheat yield was analyzed by using correlation analysis, grey associate analysis and rough sets theory.
运用简单相关、灰色关联分析方法和粗糙集理论，分析了土壤特性对小麦籽粒产量的影响。
Attribute reduction is the core of rough sets theory.
属性约简是粗糙集理论的核心内容。
To propose a modeling strategy of rolling horizon scheduling based on a rough sets theory and the general control idea.
提出了一种基于粗集理论和广义控制思想的滚动调度建模策略。
Based on the analysis of wear particles of diesel engine, a pattern recognition method of the wear mode of diesel engine was originally put forth, by combining rough sets theory and fuzzy theory.
在总结柴油机磨损模式的磨粒分析基础上，首次提出在柴油机磨损模式识别中采用基于粗集和模糊理论相结合的模式识别方法。
Fault diagnosis model and learning rule of RBF ANN is studied. Fault diagnosis principle and step of RBF ANN based on rough sets theory is given.
研究了RBF神经网络故障诊断模型及学习规则，给出了基于粗糙集理论的RBF神经网络故障诊断原理和步骤。
In this paper, firstly we compare RST with fuzzy Sets Theory and introduce fuzzy method into the study of RST by the rough membership function.
首先本文将粗糙集理论与模糊集理论进行比较，通过粗糙隶属函数将模糊集的研究方法引入到粗糙集的研究中。
A method of constructing knowledge based fuzzy perceptron based on rough sets theory is proposed.
提出了用粗糙集理论构造模糊多层感知器的方法。
A variant of TAN using rough sets theory is presented, and their tree classifier structures, which can be thought of as a selective restricted trees Bayesian classifier, are compared.
基于基本粗糙集合理论中属性不精确或部分依赖关系的定义，提出了一种新的选择性受限树型贝叶斯网络分类器。
Based on a rough sets theory and the general control idea, a modeling strategy of rolling horizon scheduling under dynamic processing environment is presented.
基于粗集理论和广义控制思想，提出了一种动态加工环境下滚动调度建模策略。
In this paper, the approximation operators and the random sets, the best parts of the rough sets theory, are studied systematically.
本文对粗糙集理论中最基本的部分——近似算子及随机集进行了较系统的探讨。
A flame status discrimination method based on rough sets theory has been presented in the light of the main problems concerning the flame detection of an entire furnace.
针对全炉膛火焰检测的主要问题，提出了一种基于粗糙集理论的火焰状态识别方法。
The depending on the analysis of main factors affecting the air Force air materiel supply site selection, a preference site selection method based on rough sets theory is presented in this paper.
在分析空军航材供应点选址影响因素的基础上，提出了用粗糙集理论求解偏好选址问题的方法。
A modeling strategy of rolling optimal scheduling based on rough sets theory and feedback correction of general control is presented.
提出一种基于粗集理论和广义控制的滚动优化调度建模策略。
The extending model of rough sets theory.
粗糙集理论扩展模型。
In this paper, the generation of maximally generalized rules in the course of classification knowledge discovery based on rough sets theory is discussed.
讨论了基于粗糙集理论的分类知识发现中最大泛化规则的生成。
The graphic structure analysis for algebraic relationship of rough sets is a new research direction of the rough set theory.
粗糙集代数关系的图结构分析是粗糙集理论中又一研究方向。
Rough sets theory and rotating neighborhood technique were applied on echocardiographic images in this article, and quantitive methods were used to evaluate the effect of the processing.
本文将粗糙集理论和旋转邻域技术应用于超声心动图噪声抑制，并用定量手段做了评价。
The combined method of rough sets theory and genetic algorithms is applied to data mining.
介绍应用粗集理论和遗传算法相结合进行数据挖掘的方法。
Furthermore the deeper properties of rough sets and topology are achieved by covering Spaces, and rough sets theory and topology have been enriched from the operator-oriented and set-oriented views.
利用覆盖空间，得到了粗糙集和拓扑中更深刻的性质，从算子论和集合论的角度丰富和深化了粗糙集与拓扑的内容。
The presentation of rough sets based on tolerance relations expands the application scope of rough set theory.
基于容差关系粗糙集的提出扩大了粗集的应用范围。
Based on rough sets and evidence combining theory, a general method of extracting the extension decision rules of probability information system is given.
使用粗糙集和证据合成理论中的方法，给出了获取概率信息系统的扩展决策规则集的一般方法。
Combination with upper and lower approximation of Rough sets theory and MST algorithm presents Rough MST algorithm, and constructs certain MST and uncertain MST.
结合粗糙集理论中的上下近似理论与图论中的最小生成树算法提出了粗糙最小生成树算法，并构造了确定性最小生成树和可能性最小生树。
Combination with upper and lower approximation of Rough sets theory and MST algorithm presents Rough MST algorithm, and constructs certain MST and uncertain MST.
结合粗糙集理论中的上下近似理论与图论中的最小生成树算法提出了粗糙最小生成树算法，并构造了确定性最小生成树和可能性最小生树。
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