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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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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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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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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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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And a decision rule reduction algorithm is presented based on fuzzy - rough set model.

提出了一种新型的决策规则约简方法.

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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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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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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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The axiom group is helpful to research rough set theory by logic and axiom system methods.

这些研究有助于粗糙集理论研究的深人和完善.

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With the basic principle of rough set, customers dig out the decision rules they wanted.

利用粗糙集理论的基本原理, 挖掘出用户需要的决策规则.

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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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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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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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