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。
In this paper, we combine the fuzzy set theory with rough set theory by rough membership function and establish a relation between them.
通过粗糙隶属度函数，将粗集理论与模糊理论联系起来，建立一种粗集理论与模糊理论的关系。
The prime concept of software testing is presented, then introduces the prime concept of rough set theory and the data reduction method based on rough set.
文中首先阐述了软件测试相关的基本概念，然后介绍了粗糙集理论基本概念和基于粗糙集理论的数据约简。
In the rough set theory and rough-fuzzy set theory, computation of approximations and edge and attributes reduction of decision table is import part of them.
在粗糙集理论及粗糙模糊集理论中，上下近似及边界的求解与决策表属性约简是它们的核心内容。
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。
We combine the fuzzy set theory with rough set theory by rough membership function and establish a relation between them.
通过粗隶属函数，将粗糙集理论与模糊集理论联系起来，建立一种粗糙集理论与模糊集理论间的关系。
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。
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。
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。
Because the rough set theory is suitable for handling uncertain information, we propose a new approach to accessing VANETs based on the rough set theory.
针对粗糙集理论适于处理不确定性信息的特点，本文提出了一种基于粗糙集理论的VANET接入方法。
The reduction of original data based on rough-set theory is derived and the optimized intelligent system with rough-set neural network is established in this paper.
利用粗糙集理论对原始数据进行约简，构建优化的粗糙集—神经网络智能系统。
Fuzzy rough set theory is an effective tool for reduction of data dimension, but there are few dimension reduction algorithms that are based on fuzzy rough set theory so far.
模糊粗糙集理论是解决数据集维数问题的有效工具，但基于模糊粗糙集的降维算法还不多。
With the rough set theory as background, this paper has studied deeply the rough set representation model and the clustering based on this model.
本文在粗糙集理论的背景知识下，对于文本的粗糙集表承模型和基于此模型下的聚类在信息过滤系统中的应用，进行了深入的研究。
Rough set theory and fuzzy set theory are two complementary mathematical tools for dealing with imprecision and uncertainty. Rough-fuzzy sets model is established by them.
粗糙集理论和模糊集理论是处理不确定和不精确问题的两种数学工具，它们有很强的互补性，将这两种理论相互融合可以建立粗糙模糊集模型。
By combining the rough set theory with the traditional graph theory, the equal definition of classical graph is presented based on the idea of rough set theory.
将粗糙集理论和传统图论相结合，给出基于粗糙集思想的传统图的等价定义及粗糙图的定义，并进一步给出了粗糙图的矩阵表示及粗糙图的粗糙性分析。
Rough set theory is a new data mining and decision analysis method. Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.
粗糙集理论是一种新型的数据挖掘和决策分析方法，利用粗糙集理论进行决策表的知识约简与决策规则挖掘已经成为研究热点。
The Rough Set Theory is introduced into the enhancement of infrared image. Also the tentative exploration of the application of the Rough Set Theory has been made in image processing.
本文将粗糙集理论引入到红外图像增强中，对粗糙集在红外图像处理中的应用做了一些初步的探索。
Rough set, as a theory of data analysis, can deal with uncertainty efficiently , and is one of current hot research directions in knowledge discovery. This paper introduces rough set theory briefly.
粗集作为一种数据分析理论，能有效地从不确定性的数据中发现知识，是目前在知识发现领域研究的热点之一。
This paper puts forward a collaborative filtering algorithm based on rough set and fuzzy clustering which automatically fills vacant ratings through rough set theory.
提出了一种基于粗集和模糊聚类相结合的协同过滤推荐算法，通过粗集理论自动填补空缺评分降低数据稀疏性；
Attribute reduction is one of the core issues of the rough set theory and it has become a hot topic of the rough set theory research.
属性约简是粗糙集理论的一个核心问题，近年来已经成为粗集研究的热点。
By combining fuzzy set theory and rough set theory, rough fuzzy set model and fuzzy rough set model were proposed, and the uncertain measurement approaches were established.
人们将粗糙集理论与模糊集理论相结合，提出了粗糙模糊集模型和模糊粗糙集模型，并给出了相应的不确定性度量方法。
To use of rough set theory for data mining and the extraction rules of the knowledge, the most important point is that based on the attribute reduction and rule extraction algorithms of rough set.
利用粗糙集理论进行数据挖掘，抽取知识规则，最重要的一点就是基于粗糙集的属性约简和规则提取算法的研究。
To use of rough set theory for data mining and the extraction rules of the knowledge, the most important point is that based on the attribute reduction and rule extraction algorithms of rough set.
利用粗糙集理论进行数据挖掘，抽取知识规则，最重要的一点就是基于粗糙集的属性约简和规则提取算法的研究。
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