摘要
针对D-S证据理论在目标识别中mass函数难以获取的问题,提出一种基于目标多特征的mass函数确定方法。该方法首先利用模糊理论中的隶属函数确定目标的特征隶属度矩阵,然后根据特征隶属度矩阵计算mass函数确定过程中各特征的可信度,最后把各特征的隶属度值和可信度转换成mass函数。仿真结果表明,该方法获取的mass函数具有很好的可靠性和抗干扰性。
This paper focused on the problem that it was difficult to set up the mass function of the evidence theory in the tar- get recognition and proposed a method based on objective characteristics. Firstly, the method used the fuzzy membership func- tion in fuzzy theory to determine the objective characteristics of membership matrix and calculated the credibility of each feature in processing of obtaining the mass function based on objective characteristics of membership matrix. Finally it transformed the various characteristics of membership value and credibility into the mass function. The simulation analysis shows that the meth- od has a good reliability and robustness.
出处
《计算机应用研究》
CSCD
北大核心
2017年第8期2312-2314,共3页
Application Research of Computers
关键词
目标多特征
MASS函数
模糊理论
隶属函数
objective characteristics
mass function
fuzzy theory
membership function