区间值决策表中基于证据理论的测试代价敏感属性约简  

Test Cost-Sensitive Attribute Reduction in Interval-Valued Decision Tables Based on Evidence Theory

作　　者：范译文 廖淑娇 吴迪[1,2] FAN Yi-wen;LIAO Shu-jiao;WU Di(School of Mathematics and Statistics,Minnan Normal University,Zhangzhou 363000,Fujian,China;Fujian Key Laboratory of Granular Computing and Application,Minnan Normal University,Zhangzhou 363000,Fujian,China)

机构地区：[1]闽南师范大学数学与统计学院,福建漳州363000 [2]闽南师范大学福建省粒计算及其应用重点实验室,福建漳州363000

出　　处：《喀什大学学报》2024年第6期1-9,共9页Journal of Kashi University

基　　金：国家自然科学基金项目“代价敏感的属性与尺度同步选择研究”(12101289).

摘　　要：属性约简一直都是区间值信息系统的主要研究内容,Dempster-Shafer证据理论应用信任函数和似然函数解决不确定性问题.根据证据理论相关知识研讨区间值决策表中测试代价敏感的属性约简方法,建立理论模型,并分别基于信任函数和似然函数提出启发式的属性约简算法.经实例检验,所提出算法的效果良好.Attribute reduction has always been the main research content of interval-valued information systems.Dempster-Shafer evidence theory applies belief function and plausibility function to solve uncertainty problems.In this paper,we study the test cost-sensitive attribute reduction method in interval-valued decision tables based on the relevant knowledge of evidence theory.The theoretical model is built,and heuristic attribute reduction algorithms are proposed based on belief function and plausibility function,respectively.The effectiveness of the proposed algorithms is verified through examples.

关 键 词：区间值 决策表 属性约简 测试代价 证据理论 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] O225[自动化与计算机技术—控制科学与工程]