DSmT框架下PCR分配法则的随机集表示

Representation of random sets for PCR rules under framework of DSmT

证据理论的随机集表示能够使不同类型的信息,采用统一的多源信息融合系统进行建模处理。根据现有的随机集理论统一表示模型和DSmT理论的随机集表示,采用随机集理论对PCR分配法则进行随机集表示。提出PCR分配法则随机集表示形式的转换规则。依据转换规则推导出PCR分配法则的随机集表示。研究结果有益于信息融合的统一表示和处理。

Representation of evidence theory by random sets can makes different types of information to be modeled and processed effectively by unified multisource fusion system. Based on the unified representation model under random sets theory framework and the representation of random sets for DSmT, PCR distribution principle is represented with the formulation of random sets by using random sets theory. Firstly, the paper presents some transformation rules to the representation of the formation of ran- dom sets. Then the representation of random sets for PCRs is done. These results are beneficial to the unified representation and processing for information fusion.