火力与指挥控制2025，Vol.50Issue(5)：52-59,8.DOI:10.3969/j.issn.1002-0640.2025.05.008
一种改进加权邻域粗糙集属性约简算法及其在装备效能评估上应用
An Improved Weighted Neighborhood Rough Sets Attribute Reduction Algorithm and Its Application in Equipment Effectiveness Evaluation
摘要
Abstract
In traditional rough sets theory,the interdependencies among conditional attributes are not fully considered during execution of attribute reduction,which limits the theory's potential in uncovering the profound correlations between conditional attributes and decision attributes.Therefore,an improved weighted neighborhood rough sets attribute reduction algorithm is proposed.Firstly,the basic principles of the neighborhood rough sets attribute reduction algorithm are briefly analyzed,and a weighting strategy based on an improved Spearman's rank correlation coefficient is introduced.This strategy is utilized to enhance the analysis of the correlations among attributes within the weighted neighborhood rough sets.Subsequently,on such basis,an improved weighted neighborhood rough sets model for equipment effectiveness evaluation is constructed,a specific process for effectiveness evaluation is provided.The experiments conducted on sample data demonstrate that the proposed algorithm surpasses those of traditional methods in terms of attribute reduction efficiency and classification accuracy,thereby its practicality and effectiveness are reflected.关键词
加权邻域粗糙集/相互依赖性/属性约简/改进斯皮尔曼等级相关系数/效能评估Key words
weighted neighborhood rough sets/interdependency/attribute reduction/improved Spearman's rank correlation coefficient/effectiveness evaluation分类
计算机与自动化引用本文复制引用
李奎,张侹,张晨阳,吴娟,廖斌..一种改进加权邻域粗糙集属性约简算法及其在装备效能评估上应用[J].火力与指挥控制,2025,50(5):52-59,8.基金项目
智慧地球重点实验室开放基金课题资助项目(KF2023ZD01-05) （KF2023ZD01-05）
