《山东大学学报(理学版)》 ›› 2024, Vol. 59 ›› Issue (9): 1-8.doi: 10.6040/j.issn.1671-9352.0.2022.561
• • 下一篇
张建华1,温丹丹1,2*,贺龙飞1
ZHANG Jianhua1, WEN Dandan1,2*, HE Longfei1
摘要: 针对多决策属性案例的适配问题,提出一种基于决策属性相关关系的多案例诱导适配方法。首先,探讨分类器链思想在解决案例诱导适配问题中的适用性,并阐释决策属性相关的多案例诱导适配器链的基本原理;然后,基于Hellinger距离设计差异化适配案例视图,并将其融入决策属性的求解过程中;最后,将加权朴素贝叶斯算法作为基适配器算法构建适配器链,求解决策属性值的概率分布,并据此确定决策属性值。结果表明,适配器链能够有效传导决策属性间的相关性,且在适配过程中通过差异化案例视图动态调整决策属性对条件属性的依赖关系,有效解决了决策属性相关的案例适配问题。
中图分类号:
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