重庆大学学报2025，Vol.48Issue(2)：22-34,13.DOI:10.11835/j.issn.1000-582X.2025.02.003
基于D-S证据理论的多智能体系统冲突数据融合机制研究
Research on mechanism of conflict data fusion in multi-agent systems based on D-S evidence theory
摘要
Abstract
The multi-agent information fusion(MAIF)system is smainly aimed at information fusion,regulation,communication,and conflict resolution among multiple agents.A multi-agent system conflict data fusion method combining reconstructed basic probability assignment and belief entropy is proposed to address the issue of D-S evidence theory failure under highly conflicting data conditions.This method uses reconstructed basic probability assignment and belief entropy to correct the reliability of evidence,obtaining more reasonable evidence.Then,the evidence is fused using the Dempster combination rule,and the results are obtained with a confidence level of over 90%in both 2 experiments.The experiment demonstrates the effectiveness of this method and improves the accuracy of the MAIF system identification process.关键词
基本概率分配/熵/D-S证据理论/多智能体/信息融合Key words
basic probability assignment/entropy/D-S evidence theory/multi-agent/information fusion分类
计算机与自动化引用本文复制引用
王娜,刘静渝,李皓然,夏晓峰..基于D-S证据理论的多智能体系统冲突数据融合机制研究[J].重庆大学学报,2025,48(2):22-34,13.基金项目
成都市区域科技创新合作项目(2023-YF11-00018-HZ) （2023-YF11-00018-HZ）
国家自然科学基金(62372075).Supported by Regional Science and Technology Innovation Cooperation Program of Chengdu(2023-YF11-00018-HZ)and National Natural Science Foundation of China(62372075). （62372075）
