西北师范大学学报（自然科学版）2018，Vol.54Issue(3)：11-18,8.DOI:10.16783/j.cnki.nwnuz.2018.03.003
粗糙集预测算法的稳定性分析
Stability of rough set-based prediction
摘要
Abstract
Rough set-based prediction aims to construct an algorithm to extract decision rules from decision systems and then assign the corresponding decision labels for new samples.To show the efficiency of prediction algorithms,it needs to measure the stability and generalization performance of algorithms.In this paper the generalization performance of confidence algorithm in terms of algorithmic stability is analyzed,w hich show s that the bound of generalization error is related to the number of rules,and stability parameter.T he bound is decreasing as the increase of samples and rules,and the decrease of stability parameters.关键词
粗糙集预测/置信度算法/泛化误差/经验误差/泛化界Key words
rough set-based prediction/confidence algorithm/generalization error/empirical error/generalization error bound分类
数理科学引用本文复制引用
张晓霞,陈德刚..粗糙集预测算法的稳定性分析[J].西北师范大学学报（自然科学版）,2018,54(3):11-18,8.基金项目
国家自然科学基金资助项目(71471060) （71471060）
华北电力大学中央高校科研基金资助项目(2015xs71) （2015xs71）
