The problem is akin to what happened in early set theory.
这个问题类似早期集合论发生的情况。
Knowledge reduction is one of important issues in rough set theory.
知识约简是粗糙集理论的重要研究内容。
Attribute reduction is a core subject in the domain of rough set theory.
属性约简问题是粗糙集理论中一个核心的研究课题。
Fuzzy rough set theory is an important method for data mining of uncertain data.
模糊粗糙集理论是一种处理不确定性信息的重要的数据挖掘方法。
Especially, FAHP is based on fuzzy set theory.
特别是模糊层次分析法，它是基于模糊集合理论的。
Attribute reduction is a research focus in rough set theory.
属性约简是粗糙集理论中的一个研究重点。
Decision rules can be mined from given data using rough set theory.
利用粗糙集理论可以从已知数据中挖掘决策规则。
The equivalence relation is the basic Concept of the rough set theory.
等价关系是粗集理论中的一个重要概念。
Data reduction is one of important research issue in rough set theory.
数据约简是粗糙集理论中一个非常重要的研究课题。
This paper presents a rough set theory based on the text classification.
文章提出了一种基于粗糙集理论的文本分类方法。
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。
New fuzzy set theory is isomorphic to the fundamental part of probability theory.
新模糊集合理论与概率论的基本部分是同构的。
Rough set theory is a new math tool in dealing with fuzzy and uncertain knowledge.
粗糙集理论是一种处理模糊和不确定知识的新型数学工具。
Rough set theory is a new mathematical approach to deal with vagueness and uncertainty.
粗糙集理论是一种处理模糊和不确定性问题的新的数学方法。
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。
Rough set theory is a new mathematical tool to deal with fuzzy and uncertain information.
粗糙集理论是一种新的处理模糊性和不确定性知识的数学工具。
Knowledge reduction is one of the important contents in the research on rough set theory.
知识约简是粗糙集理论研究中的重要内容之一。
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。
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。
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。
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。
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