摘要
D-S证据理论的应用过程与事件密切相关,针对目标识别这一特定领域,研究了证据理论中基本概率赋值的获取、组合规则及决策规则等问题。识别实例中,利用灰关联分析法来处理基本概率赋值的问题,对多传感器基本概率赋值进行组合后,最终通过决策完成对2种车型的类型识别,经计算仿真表明,D-S证据理论在目标识别中具有一定的有效性和优越性。
The application process of D-S evidence theory is closely related with the events.In allusion to the special area of target recognition,some questions of evidence theory such as obtaining the basic probability assignment,the dempster＇s Rules and the decision rules were studied.In the example of identification,grey relation analysis was used to process the problem of basic probability assignment,after combining basic probability assignment of multi-sensors,type recognition of two kinds of cars was implemented by descion-making.The result of simulation indicates that the D-S evidence theory was more efficient and superiotity in target recognition.
出处
《自动化与仪表》
北大核心
2011年第7期14-17,25,共5页
Automation & Instrumentation
基金
国家自然科学基金项目(60871041)
关键词
证据理论
基本概率赋值
组合规则
决策规则
theory of D-S evidence
basic probability assignment
dempster＇s rule
decision rule
