set theory

So we can do some work on rough set theory by concept lattice method.

可以利用粗糙集理论与方法研究概念格,利用概念格理论与方法研究粗糙集理论.

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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.

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The output forecasting influenced by uncertain history-data of film evaporators is studied by Rough Set theory.

应用粗糙集理论研究了薄膜蒸发器历史数据不确定影响下的产量预测问题.

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Here the writer put forth the countermeasures such as to reduce the tax evasion motivation theory, to get rid of the information asymmetry as well as to set up an effective tax inspection and punishment mechanism. Besides, to perfect the countermeasures of the tax evasion gaming.

由此，对症下药，提出了减少偷逃税激励、解决信息不对称问题及建立有效税务稽查及处罚机制，完善偷逃税博弈的有效治理对策。

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Furthermore, efficient emotion recognition methods are also studied based on rough set theory and ensemble learning.

此外，本文还基于粗糙集理论，结合集成学习理论，对人脸表情识别方法进行研究。

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The attributes reduction and decision rule generation are the kernel contents of rough set theory.

其中,属性约简算法和规则提取算法是粗糙集理论及应用研究的重要内容.

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One effect to be hoped for, in such a minimization, is a more natural and conclusive solution than we now have for the antinomies of set theory.

这套最小化的假定，可望能以比现在更自然更令人信服的方法解决集合论中的悖论。

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A Multi-indexes Synthesize Evaluation Model based on Rough Set Theory for Plane Air-To-Surface Target Attacking Efficiency

基于粗糙集的飞机空地作战效能多指标综合评估模型

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In recent years, the fuzzy set theory has been widely used in educational grading systems.

近几年来, 模糊集合理论被广泛的使用在教育评分系统中.

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Rough set theory and synthesis reasoning theory can be integrated and generalized successfully.

实现了对粗糙集理论和综合推理理论的融合和成功扩展.

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Attribute reduction a kernel part of rough set theory.

属性约简是粗糙集理论的核心内容之一.

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Study and Application in Target Recognition of Mixed Configuration Data Fusion Algorithms Based on Rough Set Theory

一种混合结构的数据融合算法研究及在目标识别中的应用

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Applying Rough Set Theory RST, useful knowledge or rules can be extracted from original data.

应用粗糙集理论, 可以从原始的数据中提取有用的知识或规则.

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A dyn amic fuzzy evaluation model is created a discrete MARKOV process and fuzzy set theory.

利用马尔柯夫链和模糊集理论,建立多指标动态模糊评价模型.

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The theory support of ethnics is matter-element theory and extension set theory.

它的理论支柱是物元理论和可拓集合理论,其逻辑细胞则是物元.

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Specifically, major contributions are as follows: Firstly, this thesis develops a formal semantic model for component that is based on predicate logic, set theory and Pi-calculus.

具体如下：首先，本文结合构件的静态结构特征和动态行为特征，基于谓词逻辑、集合论以及进程代数π演算，提出了一种构件的形式语义模型。

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Mechanical Condition Monitoring and Fault Diagnosis Based on Rough Set Theory

基于粗糙集理论的机械状态监测与故障诊断

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The grey target theory is used to set up the model for mathematical evaluation;

即：首先用灰靶理论建立评定方法的数学模型，以能反映武器系统效能的战技性能指标构造各比较方案或模式的指标序列，进而求得各指标序列的标准模式。

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Secondly, analyses the basic principles of rough set theory, and introduce a simple way to reduce the quality attribute of national defense students.

其次分析了粗糙集理论的基本原理，介绍一种对国防生素质指标进行简约的方法。

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Edge detection for noisy image based on rough set theory

基于粗集理论的含噪图像边缘检测

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This paper focus on the two systemized and influential atonality theories, the symmetry theory and the picth class set theory.

本文以后调性时期中较为成熟并有较大影响的两种理论体系&对称理论与音级集合理论作为研究对象。

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Discuss the possibility and necessity of the application of Rough set theory in uncertain managerial decision.

讨论了基于粗糙集解决不确定决策问题的可行性和必要性.

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Modal Semantic Data Analysis Based on Rough Set Theory

基于Rough集的模态语义数据分析

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In this paper the so-called conjugate ratio sequence of measurable subsets is investigated by using combinatorial methods and set theory and the necessary and sufficient conditions for weakly inner amenability are obtained.

本文运用组合及集合论方法，考虑群中可测子集的共轭比序列，给出了刻划弱内自可靠性的充分必要条件。

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The mechanism was based on CBR and combined Fuzzy set theory and SCBR ( secondary-CBR ) together.

该混合机制以CBR为基础,综合了模糊集理论和SCBR ( secondary -CBR ) 技术.

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Non-Boolean Features Set Covering Machine Mixed with Rough Set Theory

混合粗糙集理论的非布尔属性集覆盖机

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This article narrates the Fuzzy set theory which is crested by Professor Chen shouyu.

本文阐述了陈守煜教授创建的关于模糊集合的概念及理论.

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The basis of rough set theory is an equivalence re-lation on a universe of objects, and that of concept lattice theory is an ordered hierarchical structure-concept lattice.

概念格理论的数据表现方式是形式背景，其研究基础是一种有序的层次结构&概念格。

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This paper research a data mining system based on incremental updating algorithms of rough set theory.

本文主要研究基于粗集的增量算法的数据挖掘系统.

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Rough set theory has been successfully applied in data discretization.

粗集理论已经成功地应用于数据离散化.

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