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A property of reductions in Fuzzy Variable Precision Rough Set model

机译:模糊可变精度粗糙集模型的约简性质

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In this paper, we use strict mathematics reasoning to discover the relation between the threshold and reduction in Fuzzy Variable Precision Rough Sets (FVPRS), i.e., the reductions act as a nested structure with the monotonously increasing threshold. By using the nested structure of reductions, we could design algorithms to quickly find different reductions when a reduction is required. Here ‘different’ means the reductions obtained using different thresholds.
机译:在本文中,我们使用严格的数学推理来发现阈值与模糊可变精度粗糙集(FVPRS)的减少量之间的关系,即减少量充当阈值单调增加的嵌套结构。通过使用归约的嵌套结构,我们可以设计算法以在需要归约时快速找到不同的归约。这里的“不同”是指使用不同阈值获得的减少量。

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