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Models for first order rough logic applications to data mining

机译:用于数据挖掘的一阶粗略逻辑应用的模型

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Pawlak's rough set theory has inspired many logical investigations. In their joint paper, T.Y. Lin and Q. Liu have introduced first order rough logic based on their axiomatic characterization of rough sets. In this paper, rough model are fine tuned. Two rough models an defined. Based on new rough models, completeness of rough logic system is indicated for each respective model. Pawlak information system is viewed as rough model, and data mining is formulated in terms of first order rough logic.
机译:Pawlak的粗糙集理论激发了许多逻辑调查。在他们的联合论文中,T.Y.林和Q.刘基于粗糙集的公理表征引进了一阶粗略逻辑。在本文中,粗略的模型是微调的。定义的两个粗略模型。基于新的粗略模型,针对每个相应模型指示粗糙逻辑系统的完整性。 Pawlak信息系统被视为粗略模型,并在一阶粗略逻辑方面制定了数据挖掘。

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