粗糙集是什么意思_粗糙集用英语怎么说_粗糙集的翻译_粗糙集翻译成_粗糙集的中文意思_粗糙集怎么读,粗糙集的读音,粗糙集的用法,粗糙集的例句

Attribute reduction and relative attribute reduction are a core of KDD.

粗糙集理论中,属性约简是知识挖掘的核心.

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Train Organizational Theory with Application for Railway Passenger Lines.

基于粗糙集理论的行车指挥知识获取与决策的应用研究.

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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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Attribute reduction is an important concept in rough sets data analysis.

属性约简是粗糙集用于数据分析的重要概念.

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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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Soft computing includes Artificial Neural Network, Fuzzy Logic, Evolutionary Algorithms, Rough Set ( RS ) Theory, etc.

软计算工具主要包括人工神经网络 、 模糊集理论 、 进化算法和粗糙集理论等.

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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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Rough set is a mathematical approach to study imprecise, uncertain or incomplete information or knowledge.

粗糙集是研究不精确性 、 不确定性、不完整性现存信息或知识的数学工具.

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The concept of fuzzy rough sets was initially proposed by Dubois and Prade ( 1990 ).

模糊粗糙集概念一般认为是由Dubois和Prade ( 1990 ) 给出的.

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A new method of rough set and neural network for fan trouble diagnosis is presented.

提出了一种粗糙集理论与神经网络集成的风机故障诊断方法.

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A new method about extracting rules based on rough sets theory was proposed.

摘要提出了一种基于粗糙集理论的规则提取的新方法.

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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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Firstly, the classical fuzzy set, rough sets, GA algorithm and neural network theory are introduced.

首先, 介绍了经典的模糊集 、 粗糙集 、 遗传算法和神经的网络理论.

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An attribute reduction is a mostly content which the rough sets theory studies.

知识约简是粗糙集理论的核心问题之一.

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In chapter 3, the application of Rough Sets theory to algebra system - groups is studied.

第三章研究了粗糙集理论在代数系统 —— 群上的应用.

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