摘要
认知结构不确定推理框架采用4值(最值、置信度、信任值、似真值)表达不确定认知情况,并采用认知结构运算来进行不确定信息处理。该方法可以用来处理交通不确定信息的表达、融合和决策,进一步还可以对交通仿真中面临的多种不确定信息进行有效处理和应用。文中探讨了采用认知结构进行交通信息融合的方法,并对认知结构方法进行了深入研究,引入了2个公设,将认知结构的运算由定义转化为定理。
The cognitive structure uncertainty reasoning framework uses a four-value （most value, confidence vatue, trust value, and possible value） cognitive structure to express the cognitive uncertainty, and takes the algorithm of cognitive structure to deal with uncertain information. The method can he used to process traffic information for the ex- pression of uncertainty, fusion and decision-making. Furthermore, it can also be effectively used for processing a wide range of uncertainty related to traffic simulation. This paper discusses the application of using cognitive structure for traf- fic information fusion, and conducts further researches on the methodology of cognitive structure, and introduces two axioms. This paper transfers the cognitive computing structure from the definition to the theorem and provides a good application foundation for the methods of cognitive structure.
出处
《交通信息与安全》
2009年第5期61-64,68,共5页
Journal of Transport Information and Safety
关键词
交通信息融合
不确定信息
认知结构
连续认知结构
traffic information fusion
uncertainty information
cognitive structure
continuous cognitive structure
