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。
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。
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。
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。
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。
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。
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。
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。
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。
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 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。
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。
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。
Absrtact: Rough set theory is a new mathematical tool to research imprecise and incomplete data.
摘要：粗糙集是用来处理不确定、不完备数据的重要工具之一。
The knowledge expression based on polychromatic set theory and function method tree is illustrated.
给出了基于多色集合理论和功能方法树的机械产品概念设计的知识表达。
Therefore, studying the method of knowledge acquisition based on rough set theory has important significance.
研究基于粗糙集理论的知识获取方法有着重要的意义。
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。
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。
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。
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。
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