摘要
基于诊断任务的多层次混合分解策略,提出了一种融合不同知识表达方式和推理机制的多Agent并行诊断结构,分析了管理 Agent、诊断Agent和决策Agent的基本职能;并将证据理论应用于多诊断Agent的联合决策过程,指出了Dempster合成规则及Yager 改进方法的不足,提出了基于证据支持度的冲突信息加权分配方法,并以一个算例证明了该方法的有效性。
Based on muhi----layer decomposition strategy of diagnosis task, a multi agent synchronous diagnosis federation integrated different knowledge representation modes and inference mechanisms is presented. The functions of management agent, diagnosis agent and decision agent are analyzed. Evidence theory is adopted into the joint decision--making process of multl--agent system. The deficiencies of Dempster combination rule and Yager modification melhod are pointed out. A new weighted distribution method for conflict information based on evidence support degree is put forward. And a numerical example shows this new combination rule can combine conflict evidences with good results and convergence efficiency.
出处
《计算机测量与控制》
CSCD
2006年第4期443-445,456,共4页
Computer Measurement &Control
关键词
并行推理
多AGENT
故障诊断
证据理论
synchronous inference
multi- agent
fault diagnosis
evidence theory
