Multiple rough fuzzy sets can conveniently find associated knowledge from data with one-to-many dependency and fuzzy properties.
多重粗糙模糊集可用于从具有一对多依赖性关系的且具有模糊特性的数据中挖掘知识。
The S-rough fuzzy sets theory based on the theory of the S-rough sets, provide a theoretical basis in handling of imprecise knowledge in the dynamic system.
结合模糊集理论和单向S-粗集理论，基于动态系统提出了单向S-粗模糊集的概念、结构及其性质，对此进行了讨论并给出应用实例。
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 System may adjust the control schemes by real time traffic data, which are off-line provided by the fuzzy traffic Decision table based on Rough Sets.
文章前面部分仿真分析通过的各种交通流情况下的基于粗集理论的模糊控制方案表在系统中离线给出，以根据实时的交通流数据查表调用。
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。
As knowledge block in knowledge base is fuzzy and is obtained randomly, we study the rough set model based on random fuzzy rough sets.
当知识库中的知识模块既是模糊的又是随机得到的，我们定义了基于随机模糊集的粗糙集模型。
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。
We give some properties of random fuzzy rough sets.
给出了随机模糊粗糙集的性质。
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。
Mostly used methods are introduced in detail, including fuzzy method, rough sets theory, cloud theory, evidence theory, artificial neural networks, genetic algorithms and induction learning.
详细介绍了数据挖掘技术的常用方法，包括模糊理论、粗糙集理论、云理论、证据理论、人工神经网络、遗传算法以及归纳学习。
The relationship between fuzzy sets and single direction singular rough sets is discussed.
讨论模糊集合与单向奇异粗集之间的联系。
Rougness, rough entropy, fuzziness, and fuzzy entropy are major methods for measuring the uncertainty of rough sets.
粗糙集的不确定性度量方法，目前主要包括粗糙集的粗糙度、粗糙熵、模糊度和模糊熵。
This paper discusses the relationships between a fuzzy approximation space and a fuzzy topology space. The approximations and reduction in fuzzy covering-based rough sets are also studied.
本文研究模糊近似空间与模糊拓扑空间之间的关系、基于模糊覆盖的粗糙集模型与约简等问题。
The concepts and characterization of fuzzy and rough sets are presented in this paper.
介绍了模糊集合及粗糙集合的概念和特征。
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。
This paper introduces the lower and upper approximations operator of rough sets and fuzzy sets.
本文介绍了粗糙集和模糊粗糙集的上下近似。
The rough sets reduction model is established by integrating rough sets theory with ID3 algorithm based on statistics, uncertainty fuzzy data set information can be processed with the model.
把粗糙集理论与基于概率统计ID3算法结合建立粗糙集约简模型，可处理不精确和模糊数据集信息。
Rough sets as a new mathematical tool to deal with the fuzzy and uncertain knowledge. It has important practical significance to use it in intrusion detection.
粗糙集作为一种新兴的处理模糊和不确定性知识的数学工具，将其应用在入侵检测中具有重要的现实意义。
Based on covering rough sets, fuzzy covering generalized rough sets is defined, and some corresponding properties are discussed.
在基于覆盖的粗糙集的基础上，定义了基于覆盖的模糊粗糙集模型，并且讨论了该模型的一些相关性质。
Then, the mistake classification rate between two fuzzy sets is defined. Later, fuzzy variable precision rough set model is proposed based on the two definitions.
另一方面提出了在一定错分率存在的条件下的模糊集合间的相对错分率，之后结合这两个理论给出了基于模糊邻域算子的模糊变精度粗糙集模型。
One kind of integrated data mining and data fusion system's model is designed with fuzzy neural network based on rough sets.
设计了一种基于粗糙集——模糊神经网络技术的数据挖掘与数据融合集成系统。
In this paper, a combined decision-making model is presented for dealing with uncertain and imprecise problems, based on the difference between fuzzy sets and rough sets theories.
利用模糊集理论和粗糙集理论在处理不确定性和不精确性问题方面侧重点的差异性，构造一种组合决策模型。
The algorithm makes use of fuzzy-rough sets theory to describe its uncertainty degree and carries through its pre-processing with traditional methods according to the image's visual property.
该算法利用模糊粗糙集理论，依照图像的视觉特性，采用传统的图像增强方法进行图像预处理。
In order to enhance the system performance and operating efficiency, a case base maintenance policy based on fuzzy rough sets theory is put forward.
从提高系统求解性能和运行效率的角度出发，提出了基于模糊粗糙集的实例库维护策略。
The conception of variation fuzzy rough sets is proposed and their relevant properties and theorems are given.
提出了变异模糊粗集的概念，并给出了变异模糊粗集的相关性质和定理。
In chapter 2, the connection and combination of rough sets and other mathematical subjects, such as fuzzy sets, measure, integral, lattice, group, are researched.
第二章，主要研究了粗糙集与模糊集、测度、积分、格、群的关系和结合。
In chapter 2, the connection and combination of rough sets and other mathematical subjects, such as fuzzy sets, measure, integral, lattice, group, are researched.
第二章，主要研究了粗糙集与模糊集、测度、积分、格、群的关系和结合。
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