Rough set theory is a newly developed mathematical tool for dealing with uncertain knowledge.
粗糙集理论是一种新型的处理不确定性知识的数学工具。
Rough set theory has been aiming at data analysis problems involving uncertain or imprecise information.
粗糙集理论一直致力于研究不确定或不精确信息的数据分析问题。
Fuzzy clustering is an important branch of fuzzy set theory, and is widely applied in image segmentation.
模糊聚类是模糊理论的一个重要的分支，在图像分割中得到广泛应用。
It mainly introduces basic concepts and basic methods in logic, set theory, algebraic system and graph theory.
该课程主要介绍逻辑学、集合论、代数系统以及图论的基本概念及其方法。
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。
Rough set theory is a novel mathematical tool dealing vagueness and uncertainty.
粗糙集理论是处理模糊和不确定性问题的新的数学工具。
It selects the main factors that affect the airflow stability by rough set theory.
该方法首先应用粗糙集理论来选择影响风流稳定性的重要因素。
This paper presents a novel neural network architecture based on fuzzy set theory, FIBP.
提出了一个基于模糊集理论的新的神经网络结构及其学习算法。
This article applies the generalized covering rough set theory to information retrieval model.
将广义覆盖粗糙集理论及其计算运用到信息检索模型。
Both rough set theory and evidence theory are the math tools for dealing with uncertain knowledge.
粗糙集理论与证据理论都是处理不确定性知识的数学工具。
The rough set theory is a new mathematical tool to deal with imprecise, incomplete and inconsistent data.
粗糙集理论是一种新的处理不精确、不完全与不相容知识的数学工具。
This paper has studied an effective intelligent decision method based on rough set theory and neural network.
本文研究了基于粗集理论与神经网络相结合的有效智能决策方法。
In rough set theory, the concept of roughness of knowledge is defined by equivalence relation and set inclusion.
在该理论中，知识粗糙性是通过等价关系和集包含定义的。
Then, fitness function was built according to fuzzy set theory and assembly sequence was evaluated and optimized.
采用模糊集理论建立了适应度函数，并对装配序列进行评价和优化。
Rough set theory, proposed in early 1982, is a new mathematical tool in dealing with imprecision and uncertainty.
粗糙集理论是1982年提出的一种处理模糊和不确定知识的数学工具。
Tolerance relation is an effective tool in patulous rough set theory to deal with incomplete information systems.
在扩充粗糙集理论中，容差关系是一种处理不完备信息系统的工具。
Rough set theory, a new mathematical tool dealing with vagueness and uncertainty, was introduced by Pawlak in 1982.
粗糙集理论是一种新型的处理模糊和不确定知识的数学工具。
The main issues addressed are uncertain knowledge representation and approximate reasoning based on fuzzy set theory.
本文主要探讨了基于模糊集合理论的不确定知识表示和近似推理方法。
This tactics carry out data compaction on data samples and extract initial diagnostic rule by using rough set theory.
该策略利用粗糙集理论对数据样本进行数据浓缩，提取初步的诊断规则。
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。
Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
粗糙集理论作为一种处理模糊和不确定性问题的有效工具，对时间序列的数据挖掘是有效的。
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。
In this paper, we connected fuzzy set theory with association mining, and proposed a fuzzy association data mining arithmetic.
本文把模糊集理论和传统的关联挖掘结合在一起，提出了一种模糊关联数据挖掘算法。
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。
The median filtering method based upon Rough set theory was applied to the sonar image processing, and the demonstration was given.
将基于粗集理论的中值滤波应用于声呐图像处理中，给出了实验结果。
In this paper, application about discernibility matrix arithmetic and HORAFA arithmetic based on the rough set theory is introduced.
简要介绍了粗糙集理论中区分矩阵算法和HORAFA算法在知识约简中的应用。
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。
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。
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