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。
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。
Rough set theory is the core content of knowledge reduction.
粗糙集理论的核心内容是知识约简。
This paper researches attributes reduction of Rough Set Theory.
本文主要研究基于粗集理论的属性约简算法。
The second section introduces the main idea of Rough Set theory.
第二部分介绍粗糙集理论的主要思想。
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。
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。
Attributes reduction was one of the key problems in rough set theory.
属性约简是粗糙集理论的核心内容之一。
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。
In the part of cooperation forecasting, Rough Set Theory is been used.
在合作风险预测方面，主要采用了粗集理论。
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。
Reduction of attribute is another important subject in Rough Set theory.
属性约简是粗糙集理论中的一个重要课题。
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。
Rough Set theory is emerging as a powerful tool for reasoning about data.
粗糙集理论是一种新的处理模糊和不确定知识的软计算工具。
There are many successful fuzzy set theory methods in image segmentation.
目前模糊集理论在图像分割中的应用有许多成功的方法。
This paper first apply the rough set theory to forestry information manage.
本文首次将粗糙集理论应用于林业信息管理之中。
The algorithm is based on the principle of flow graph theory and set theory.
该算法基于流图理论的基本原理和简单的集合运算，概念明确，易于掌握；
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。
So, Rough Set Theory has provided the frame for knowledge roughness research.
分析了基于粗糙集理论的知识粗糙性的产生、性质及实质；
Uncertainty measure is one of the important aspects of rough set theory study.
不确定性度量是粗集理论研究的重要内容之一。
A new method for decision rule synthesis based on rough set theory is proposed.
提出了一种基于粗糙集的决策规则综合的新方法——归类优选方法。
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。
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。
Fuzzy set theory is a processing language information capacity of control theory.
模糊集合理论是一种具有处理语言信息能力的控制理论。
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 mathematic approach to uncertain and vague data analysis.
粗集理论是一种新的处理含糊和不确定性问题的数学工具。
Rough set theory is a new mathematical tool to deal with vagueness and uncertainty.
粗糙集理论是一种新的数学工具来处理模糊性和不确定性。
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