摘要
本文将中智理论与DSm理论相融合,基于中智概率(Neutrosophic Probability, NP)及成比例的冲突再分配规则(Proportional Conflict Redistribution Rules, PCR)提出了一种新的融合算法NP-PCR5,通过理论分析、公式推导、算例比较实验,证明了NP-PCR5融合算法在多传感器目标识别中应用的可行性和有效性。
This paper combines the Neutrosophic Probability theory with DSM theory,and proposes a new fusion algorithm NP-PCR5 based on the Neutrosophic Probability(NP)and Proportional Conflict Redistribution Rules(PCR).Through theoretical analysis,formula derivation and comparative experiments,the feasibility and effectiveness of the NP-PCR5 fusion algorithm in multi-sensor target recognition are proved.
出处
《传感器技术与应用》
2019年第2期13-18,共6页
Journal of Sensor Technology and Application
基金
国防科技卓越青年人才基金(2017-JCJQ-ZQ-003)
泰山学者工程专项经费(ts201712072)
国家自然科学基金(61501488)资助课题。
