粗糙集数据的高精度分类算法研究Research on high-precision classification algorithm for rough set data
杨艳丽
摘要(Abstract)：
针对传统高精度分类算法在面对不定因子时,无法确定计算数据信噪度,造成计算精度不佳的问题,提出基于属性约简的粗糙集数据的高精度分类算法。通过对影响粗糙集数据分类精度的各影响因素进行详细分析,对粗糙集数据属性进行约简,抵消对应不定因子以及信噪数据,提高粗糙集数据分类精度。实验结果表明,采用改进分类算法相比传统分类方法,其分类精度及抗噪性均有提高,且其记录结果数据致盲率较低,具有一定优势。
关键词(KeyWords)： 粗糙集数据;高精度分类算法;属性约简;属性集;数据集;抗噪性
基金项目(Foundation): 云南省教育厅科学研究基金项目资助(2017YJS056);; 保山学院校级课题(16BY009)~~
作者(Author): 杨艳丽
DOI: 10.16652/j.issn.1004-373x.2018.10.039
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