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基于分布可辨矩阵的属性重要性度量

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针对目标信息系统中属性重要性度量问题,给出一种新的计算方法.首先,在分布可辨识属性矩阵基础上对条件属性集进行分布约简.然后,根据变精度粗糙集模型中下近似集定义,给出属性重要性度量公式.最后,对于给定的阈值β,分别计算分布约简属性集中各属性的重要度.实例分析表明该方法的有效性和可行性.
Attribute importance measurement based on distributed identifiable matrices
A new calculation method is proposed for measuring the importance of attributes in target information sys-tems.Firstly,the conditional attribute set is reduced based on the identifiable attribute matrix.Then,according to the defini-tion of the lower approximation set in the variable precision rough set model,the formula for measuring the importance of attributes is given.Finally,for the given threshold β,the importance of each attribute in the reduced attribute set is calculat-ed separately.Example analysis shows the effectiveness and feasibility of this method.

Distributed identifiable matrixRough set modelDistribution reductionAttribute importance

陈志恩、田彦山、陆万顺

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宁夏师范学院数学与计算机科学学院,宁夏固原 756099

分布可辨矩阵 粗糙集模型 分布约简 属性重要性

宁夏自然科学基金项目宁夏高等学校科研项目

2024AAC03329NYG2022084

2024

宁夏师范学院学报
宁夏师范学院

宁夏师范学院学报

影响因子:0.138
ISSN:1674-1331
年,卷(期):2024.45(7)