摘要
将事件作为目标意图识别的证据,针对经典贝叶斯网络在战场意图识别方面存在的问题,提出了一种基于直觉模糊集和贝叶斯网络相结合的意图识别方法。利用直觉模糊函数表示贝叶斯网络模型的各个节点及节点间的因果依赖关系,建立基于直觉模糊贝叶斯推理的识别模型,简化了推理步骤,增强了意图识别的可信度。最后通过实例验证了该方法相比经典贝叶斯推理方法更加准确可信。
Taking the event as the evidence of target intention recognition,this paper proposes an intention recognition method based on the combination of intuitionistic fuzzy sets and Bayesian network for the problem of classical Bayesian network in battlefield intention recognition.The intuitionistic fuzzy function is used to represent the causal dependence of each node and node of Bayesian network model,and the recognition model based on intuitionistic fuzzy Bayesian inference is established,which simplifies the inference step and enhances the credibility of intention recognition.Finally,an example is given to prove that this method is more accurate and reliable than the classical Bayesian inference method.
作者
王海旺
史红权
李晓丹
WANG Haiwang;SHI Hongquan;LI Xiaodan(Dalian Naval Academy,Dalian 116018;No.91315 Troops of PLA,Dalian 116041)
出处
《舰船电子工程》
2019年第6期42-45,共4页
Ship Electronic Engineering
基金
国家自然科学基金青年基金项目(编号:71701208)资助
关键词
事件
直觉模糊集
贝叶斯网络
意图识别
event
intuitionistic fuzzy sets
Bayesian network
intention recognition
