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Upper Nearness Degree and Lower Nearness Degree of Fuzzy-Rough Set

机译:近近度度和近近近的模糊粗糙集

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摘要

The concepts and models of upper nearness degree and lower nearness degree of fuzzy rough set are introduced, based on the concept of nearness degree of fuzzy set. A method of complementarities and integration of fuzzy set and rough set is given, using given fuzzy−rough model. This method is used in Chinese Medicine diagnoses, and gets the reasonable results that are affirmed by Chinese Medicine experts. This model can be used in Data Mining and Knowledge Discovery in Databases efficiently.
机译:介绍了基于近乎模糊集的近似程度的概念,引入了上近度度和较低的近近近的近近的近的近的近的近距离。给出了使用给定模糊粗糙模型给出了模糊集和粗糙集的互补和集成的方法。该方法用于中医诊断,并获得由中医专家肯定的合理结果。该模型可有效地用于数据库中的数据挖掘和知识发现。

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