Based on this, the fuzzy rough set algebra is defined, and some simple properties of the fuzzy rough set algebra are discussed.
在此基础上定义了模糊粗糙集代数，并讨论了模糊粗糙集代数的简单性质。
With the definition about reasonable complement operation of the fuzzy rough set, a expanded rough set algebra is constructed by using the method of formula.
定义了模糊粗糙集合理的补运算，从而利用公理化方法构造出推广了的粗糙集代数。
On the basis of fuzzy clustering and rough set, an algorithm for extracting fuzzy rules was proposed.
提出了一种基于模糊软分类和粗糙集理论来提取模糊规则的一种算法。
This paper discussed the attribute reduction in rough set combined fuzzy relation theory, and then proposed a new attribute reduction algorithm and gave an illustrative example.
结合模糊关系的理论，对粗糙集理论的属性约简算法进行研究，提出了一个新的属性约简算法，并给出了一个应用实例。
The rough entropy of the uncertainty of ordinary set and fuzzy set, and the monotonous relation between the uncertainty of these two kinds of set and their corresponding rough entropy, are discussed.
并研究了与普通集合和模糊集合的不确定性相对应的粗糙信息熵，以及这两种集合的不确定性与其对应的粗糙信息熵之间的单调关系。
According to the high dimensions and uncertainty of process industrial data, the fuzzy set and rough set of granularity data mining are studied for process data.
针对流程工业数据的高维数、不确定的特点，研究适合处理流程数据的模糊集、粗糙集的粒度数据挖掘理论和方法。
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。
Based on the interpretation of possibility measure based on rough set, we give an conversion algorithm of fuzzy set and rough set, thus establish a connection between these two non-classical set.
在可能性测度的粗糙集解释基础上，给出了模糊集与粗糙集的一个转化算法，从而建立了两种非经典集合之间的关系。
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。
At last, the full process of knowledge acquisition based on fuzzy rough set is explained by a simple meteorology information system.
最后，文中以一个简单的气象信息系统为例说明了基于模糊粗糙集的知识获取方法的基本过程。
Based on the method of similarity measure, it proves that the equivalence relation of rough set can be transformed into fuzzy equivalence matrix comp.
在这种相似性度量方法基础上，证明了粗集的等价关系可以被转化为模糊等价矩阵。
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。
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。
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。
Based on fuzzy rough set theory, it is liable to change the incomplete system into fuzzy information system and make the covert knowledge stand out in a way of decision regularity.
应用这种方法能够将不完备系统转化为模糊信息系统，然后利用模糊粗糙集理论，让隐藏在不完备信息系统中的知识以决策规则的形式表示出来。
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。
Based on Bayesian optimal classifier, combining with rough set and fuzzy set, a new transformer fault diagnosis and maintenance mode is presented in the paper.
基于粗糙集、模糊集和贝叶斯最优分类器，提出一种变压器绝缘故障诊断与维护的综合决策模型。
This paper firstly presents a multi-attribute auction, and then solves the problem of winner determination which is the most key problem in multi-attribute auction based on fuzzy rough set.
本文提出一种新的拍卖模型——多属性网上拍卖，其最核心的问题是如何决定胜出者，提出了一种模糊粗糙集的方法解决多属性决策问题。
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。
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。
The purpose of this paper is to study the models and properties of lattice-valued intuitionistic fuzzy rough set.
本文研究格值直觉模糊粗糙集模型及其性质。
Then the membership matrix obtained by clustering algorithm was used to reduce attribute set. Finally, based on entropy, a knowledge acquisition method of fuzzy Rough Set (RS) was put forward.
进而将聚类得到的属性隶属矩阵用于属性约简，并提出一种基于信息熵的模糊粗糙集知识获取的方法。
Moreover, the similarity dominance-based rough set model is introduced into the incomplete fuzzy decision system for knowledge reduction and knowledge acquisition.
将基于相似优势关系的粗糙集模型引入不完备模糊决策系统中，对其中的知识约简与知识获取问题进行了研究。
A novel artificial network model based on fuzzy-rough set for gas emission forecasting of coal is proposed in the paper.
本文建立了基于模糊粗糙集的神经网络预测模型，对瓦斯涌出量进行了预测。
This paper expatiates the mathematics structures and characteristics of intuitionistic fuzzy S-rough-set and the assistant set of intuitionistic fuzzy S-rough-set.
阐述直觉模糊S-粗集和直觉模糊S-粗集副集的数学结构与特性。
This paper expatiates the mathematics structures and characteristics of intuitionistic fuzzy S-rough-set and the assistant set of intuitionistic fuzzy S-rough-set.
阐述直觉模糊S-粗集和直觉模糊S-粗集副集的数学结构与特性。
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