In the theory of rough set, attribute reduction of decision table was an important research subject.
在粗糙集理论中，决策表的属性约简是一个非常重要的研究课题。
Besides, this thesis makes a simple discussion on using the theory of Rough Set to reduce attribute, in order to simplify the complexity of the algorithm.
另外，论文还就数据挖掘过程中应用粗糙集进行属性约简以简化算法复杂度做了一定的探讨。
Moreover, the product coding and configuration system based on information classifying was developed by using the theory of Rough Set to deal with uncertain customer demand.
进而，据此开发了一个基于信息分类的产品编码与配置系统，并提出了利用粗糙集的相关理论与方法处理配置过程中的客户模糊需求信息的方法。
This paper reviews the theory of rough set, introduces the main concept of rough set theory and discusses the application of the rough set theory mixing with the other intelligent methods.
本文回顾了粗糙集理论，介绍了粗糙集模型的主要概念，系统总结了粗糙集理论与其他智能方法的融合并介绍了粗糙集理论的硬件实现方法。
In order to extract simple and effective diagnostic rales from inconsistent diagnostic information, an extraction method of decision rules for fault diagnosis based on rough set theory is proposed.
为了在故障诊断信息不一致的情况下提取简单有效的诊断规则，提出了一种基于粗糙集理论的决策规则提取方法。
This paper discusses a new intelligent control method called rough control, and presents the basic concepts of rough set theory.
本文讨论了一种新型的智能控制方法—粗糙控制，介绍了粗糙集合理论的基本概念。
Rough set theory is used to mine the knowledge and get the essence characteristics of the continuous data.
离散类别确定后再应用粗糙集理论对其进行知识挖掘，可得到连续数据的本质特性。
So it enlarges the application area of rough set theory and provides a new method for modeling in welding area, and has a large potential of wide application.
该方法拓展了粗糙集理论的应用领域，并为焊接建模提供了一种新方法，具有较大的应用潜力。
This paper briefly introduces the principles and methods of the data mining and the rough set theory, and gives an example on the diagnosis and evaluation of the lung tumor.
本文简要介绍了数据挖掘技术的基本原理和主要方法，以及粗糙集理论的基本原理，并给出了一个利用数据挖掘技术对肺部肿瘤进行诊断评价的应用实例。
The attribute reduction is one of the cores of Rough Set (RS) theory.
属性约简是粗糙集(RS)理论的核心内容之一。
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。
An example resulting from running is given, which shows the practical significance to the applications of rough set theory.
最后给出实际例子的程序运行结果，对推动粗糙集理论在具体实践中应用和普及，具有实际意义。
Rough set-based method of combinatory logic optimization was presented by using knowledge expression of logic function with rough set theory, and its corresponding algorithm was given, also.
运用粗集理论对逻辑函数进行知识表达的方法，提出了基于粗糙集的组合逻辑优化方法，并给出了相应的算法。
To avoid the subjectiveness of experts in extracting diagnosis rules, rough set theory is introduced into extracting diagnosis rules.
为了克服专家在诊断规则提取时的主观性，把粗糙集理论引入诊断规则提取之中。
A method of compressor fault diagnosis based on rough set theory is proposed.
论述了将粗集理论应用于压缩机故障诊断的方法。
As an effect tool of pattern recognition and data processing, rough set theory (RST) and support vector machine (SVM) have become the focus of research in machine learning.
粗糙集理论(rst)与支持向量机(SVM)作为模式识别，数据处理的有效工具，已成为机器学习的研究热点。
According to the hierarchical principle, a classification method is presented based on the combination of rough set theory and BP neural network.
根据分层递阶的原则，提出一种将粗糙集理论与BP神经网络相结合的分类算法。
The output forecasting influenced by uncertain history-data of film evaporators is studied by Rough Set theory.
应用粗糙集理论研究了薄膜蒸发器历史数据不确定影响下的产量预测问题。
The concept of rough entropy is proposed. The monotony between the uncertainty of knowledge in the rough set theory and its corresponding rough entropy is proved.
提出了粗糙信息熵的概念，证明了粗糙集理论中知识不确定性与其所对应的粗糙信息熵之间的单调关系。
This article combine the rough set theory and the biological immunity, based on a model of rough set of immune and biological intrusion detection.
该文将粗糙集理论与生物免疫相结合，提出一种基于粗糙集与生物免疫的入侵检测模型。
Based on the renewable characteristic of water resources, rough set theory is introduced and the renewable evaluation accurate methods of regional water resources are established.
基于水资源可再生的特点，将粗糙集理论引入到水资源可再生性评价中，建立区域水资源可再生性评价的准确方法。
The Rough Set Theory can handle such problems as data reduction, data mining, the evaluation of attribute importance, the formation of decision algorithm etc.
利用粗集理论处理的主要问题包括：数据简化、数据相关性的发现、数据意义的评估、由数据产生决策算法等。
Simulating the hierarchical principle of human cognizance process, a hierarchical reduction algorithm of rough set theory is proposed in this paper.
本文模拟人类认知的分层递阶原则，提出一种粗糙集理论的分层递阶约简算法。
On the basis of introducing the rough set theory, the method and technique of fault diagnostic knowledge acquisition based on rough set is discussed.
介绍了粗糙集理论用于诊断知识获取的理论基础，阐述了基于粗糙集理论的故障诊断知识自动获取的方法和技术。
The technology of attribute reduction based on the intuitionistic fuzzy rough set theory is described as to the problem of information loss in the process of discretization.
本文针对传统的离散化技术所造成的信息丢失问题，提出了利用直觉模糊粗糙集合理论来进行属性约简的方法。
According to the border region of rough set theory and the merits of V-support vector machine, the algorithm of support vector clustering is improved.
根据粗糙集理论的边界区域和V -支持向量机的优点对支持向量聚类算法进行改进。
A method of knowledge expression on based rough set theory for logic function is proposed. A minimization algorithm of simplifying logic function by using rough set is given.
提出了基于粗糙集理论对逻辑函数进行知识表达的方法，给出了运用粗糙集进行组合逻辑化简的优化算法。
As an important method of data mining, rough set theory is a powerful mathematical tool to deal with uncertainty and noise.
约略集理论是一种能处理数据中不确定和噪音的有效数学工具，是数据挖掘的重要方法。
As an important method of data mining, rough set theory is a powerful mathematical tool to deal with uncertainty and noise.
约略集理论是一种能处理数据中不确定和噪音的有效数学工具，是数据挖掘的重要方法。
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