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。
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。
In the latest sports and fitness based on set theory.
在对运动健身的最新理论阐述的基础上。
Rough set theory is the tool to solve those problems.
粗集理论由于其自身的特点恰好能够解决这三个问题。
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。
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。
The theory foundation about fuzzy set theory in cluster analysis application.
在聚类分析中应用的有关模糊集理论理论基础。
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 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。
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。
Rough set theory is used to mine the knowledge and get the essence characteristics of the continuous data.
离散类别确定后再应用粗糙集理论对其进行知识挖掘，可得到连续数据的本质特性。
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。
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。
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。
An example resulting from running is given, which shows the practical significance to the applications of rough set theory.
最后给出实际例子的程序运行结果，对推动粗糙集理论在具体实践中应用和普及，具有实际意义。
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。
Mathematicians typically justify their fundamental axioms, in particular those of set theory, by informal appeals to the imagination.
数学家就是个典型，他们会通过想象来证实基本原理尤其是集合论。
Mathematicians typically justify their fundamental axioms, in particular those of set theory, by informal appeals to the imagination.
数学家就是个典型，他们会通过想象来证实基本原理尤其是集合论。
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