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。
This paper introduces a method for mining risk rules using Rough Set theory.
该文介绍利用粗糙集理论进行风险规则挖掘的一种方法。
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。
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 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。
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。
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。
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。
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。
Based on fuzzy set theory, the multi-sensor data amalgamation adopted fuzzy set theory to deal with data.
基于模糊集理论的多传感器数据融合，应用模糊集理论处理数据。
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。
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。
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。
In this paper, begin with agent technology - rough set theory and ANN technology have been applied to research on financial risk.
本文的研究是从智能理论角度着手，把粗糙集理论与神经网络技术应用于我国上市公司财务预警的研究当中。
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, we combine the fuzzy set theory with rough set theory by rough membership function and establish a relation between them.
通过粗糙隶属度函数，将粗集理论与模糊理论联系起来，建立一种粗集理论与模糊理论的关系。
The theorem has many deep extensions which are important not only in graph theory and combinatorics but in set theory(logic)analysis as well.
这个定理有许多深刻的推广，它们不仅在图论和组合论中是重要的，而且在集论（逻辑）和分析中是同样重要的。
The theorem has many deep extensions which are important not only in graph theory and combinatorics but in set theory(logic)analysis as well.
这个定理有许多深刻的推广，它们不仅在图论和组合论中是重要的，而且在集论（逻辑）和分析中是同样重要的。
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