郑州大学学报（理学版）2025，Vol.57Issue(6)：42-50,9.DOI:10.13705/j.issn.1671-6841.2024095
基于集成学习的三支决策模型
A Three-way Decision Model Based on Ensemble Learning
摘要
Abstract
Three-way decision model is an effective way to deal with complex decision problems by cate-gorizing objects into three distinct decision regions.However,the existing three-way decision models of-ten rely on a single decision criterion,limiting their effectiveness in handling complicated decision prob-lems.To enhance the robustness and accuracy of the decision-making process,a novel three-way decision model based on ensemble learning was proposed.Firstly,different decision criteria were adopted in the decision-making process to obtain different three-way decision results.Then,inspired by the idea of pes-simistic multi-granular rough sets,the consensus sets of the three decision regions were acquired by using basic operations between sets,respectively.Next,the k-means algorithm was utilized to divide the ob-jects in the inconsistent set into three disjoint subsets according to their similarities.These subsets were then added to their respective consensus sets to obtain the final three-way decision results.The efficacy of this newly proposed model were substantiated through extensive experiments on different datasets.Based on experimental results across various datasets,the newly proposed model achieved higher classification accuracy and comprehensive evaluation index.Additionally,the new three-way decision model occupied a smaller boundary region compared with other traditional three-way decision models.关键词
三支决策/集成学习/聚类集成/聚类分析Key words
three-way decision/ensemble learning/cluster ensemble/cluster analysis分类
信息技术与安全科学引用本文复制引用
王迪,钱进,郑明晨..基于集成学习的三支决策模型[J].郑州大学学报（理学版）,2025,57(6):42-50,9.基金项目
国家自然科学基金项目(62066014,62466017) （62066014,62466017）
江西省"双千计划"、江西省自然科学基金项目(20232ACB202013) （20232ACB202013）
