山东大学学报(理学版) ›› 2017, Vol. 52 ›› Issue (3): 105-110.doi: 10.6040/j.issn.1671-9352.4.2016.216
• • 上一篇
刘国涛1,2,张燕平1,2,徐晨初1,2
LIU Guo-tao1,2, ZHANG Yan-ping1,2, XU Chen-chu1,2
摘要: 三支决策理论是传统二支决策上的拓展,具有三种决策规则,即接受、拒绝和不承诺。三支决策广泛适用于不确定或不完整信息的处理。基于覆盖算法的三支决策模型能够自动确定三个域,但是,传统覆盖算法的覆盖中心选取是个不可控的随机过程,单次实验的精度无法保证。因此,本文提出了一种优化覆盖算法中心的三支决策模型(optimal center in constructive covering algorithm, 简称OCCCA)。该模型结合最近均值思想,在获取覆盖中心时,先求取数据集同类样本的均值,然后选取与均值最近的样本作为覆盖中心,从而实现优化覆盖算法中心的三支决策模型。实验表明,OCCCA比传统覆盖算法在三支决策模型分类准确率上有平均5%的提高。
中图分类号:
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