基于模糊信息系统的模糊β-覆盖粗糙集模型

Fuzzyβ-covering rough set model based on fuzzy information system

用模糊互补β-邻域族的概念,在模糊信息系统的基础上提出了一种新型的模糊β-覆盖粗糙集模型,并结合属性约简与模糊映射研究新模型的性质。相较于前人的模型,新模型增大了下近似值并减小了上近似值,更加精确了上、下近似值,减小了属性约简带来的误差。

Based on fuzzy information systems,a novel fuzzyβ-covering rough set model is proposed by using the concept of fuzzy complementβ-neighborhood family.The properties of the new model are studied by combining attribute reduction and fuzzy mapping.Compared with previous models,the new model increases the lower approximation value and decreases the upper approximation value,thereby making more accurate and reducing the error caused by attribute reduction.