一种属性变化局部变精度邻域粗糙集动态算法  

A Dynamic Algorithm for Attribute-Varying Local Variable-Precision Neighborhood Rough Sets

作　　者：王美丽[1] 赵佳怡 冯卫兵[1] WANG Meili;ZHAO Jiayi;FENG Weibing(School of Science,Xi’an University of Science and Technology,Xi’an 710600,China)

机构地区：[1]西安科技大学理学院,陕西西安710600

出　　处：《河南科技大学学报（自然科学版）》2024年第4期79-87,M0007,M0008,共11页Journal of Henan University of Science And Technology:Natural Science

基　　金：国家自然科学基金项目(12001420);陕西省教育厅专项基金项目(17JK0505)。

摘　　要：传统的邻域粗糙集模型对混合型数据的抗噪能力和计算效率低下,基于矩阵理论建立了一种属性动态变化的局部变精度邻域粗糙集模型。在局部对角矩阵和中间矩阵的更新规律的基础上,构建了混合信息系统局部变精度邻域粗糙集下近似的动态更新机制,提出了一种新的属性变化的局部变精度邻域粗糙集动态算法。通过实验分析可知:所提出的动态算法具有较高的计算效率和良好的稳健性。The traditional neighborhood rough set model has low noise immunity and computational efficiency for mixed data.This paper establishes a local variable-precision neighborhood rough set model with dynamic change of attributes based on matrix theory.Firstly,on the basis of the updating law of local diagonal matrix and transition matrix,the dynamic updating mechanism of approximation under the local variable-precision neighborhood rough set of mixed information system is constructed;secondly,according to this dynamic updating mechanism,a new dynamic algorithm of local variable-precision neighborhood rough set with attribute change is proposed;finally,through the experimental analysis,it can be seen that the proposed dynamic algorithm has a high computational efficiency and a good robustness.

关 键 词：局部变精度邻域粗糙集 混合信息系统 属性集变化 动态更新机制 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]