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The Composite Operator of Graded-Variable Precision Rough Sets and Its Properties

机译:梯度可变精度粗糙集的复合算子及其性质

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In order to expand the application of rough set operator, we analyzed two kinds of operator and the relationship between conversion structure based on the degree of rough set operator and variable precision rough set operator. By introducing a parameter, we give a Graded-Variable precision rough set model. And we get the Upper approximation operator and Lower approximation operator and some of its properties. This mod-el is feasible and effectiveness for dealing with fuzzy and uncertain knowledge in the information system. Experiments show that the model adds the concept of information understanding. It improved the accuracy of approximation classification and concept of accuracy in the wrong classification of the same degree.
机译:为了扩大粗糙集算子的应用范围,我们基于粗糙集算子的程度和变精度粗糙集算子分析了两种算子以及转换结构之间的关系。通过引入参数,我们给出了“渐变变量”精度粗糙集模型。然后我们得到了上层近似算子和下层近似算子及其一些属性。该模型对于处理信息系统中的模糊和不确定知识是可行和有效的。实验表明,该模型增加了信息理解的概念。它提高了近似分类的准确性和相同程度错误分类的准确性概念。

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