NP-PCR5融合算法及应用
NP-PCR5 Fusion Algorithm and Application
DOI: 10.12677/JSTA.2019.72002, PDF,  被引量    国家自然科学基金支持
作者: 关 欣, 赵 静*, 刘海桥:海军航空大学,山东 烟台
关键词: 中智逻辑中智度量中智概率PCR5Neutrosophic Logic Neutrosophic Measure Neutrosophic Probability PCR5
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。
Abstract: 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.
文章引用:关欣, 赵静, 刘海桥. NP-PCR5融合算法及应用[J]. 传感器技术与应用, 2019, 7(2): 13-18. https://doi.org/10.12677/JSTA.2019.72002

参考文献

[1] 何友, 王国宏, 关欣, 等. 信息融合理论及应用[M]. 北京: 电子工业出版社, 2010.
[2] 黄心汉, 李新德, 译. DSmT理论及其在信息融合中的应用[M]. 北京: 国防工业出版社, 2011.
[3] Smarandache, F. (1998) Neutroso-phy. Neutrosophic Probability, Set, and Logic. American Research Press, Rehoboth, USA, 105.
[4] Vasantha Kan-dasamy, W.B. and Smarandache, F. (2003) Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps. Xiquan, Phoenix, 211 p.
[5] Smarandache, F. (2015) (t,i,f)-Neutrosophic Structures and I-Neutrosophic Structures. Neutrosophic Sets and Systems, 8, 3-10.
[6] Smarandache, F. (2013) Introduction of Neutrosophic Measure, Neutrosophic Integral, and Neutrosophic Probability. Sytech, Craiova.
[7] Smarandache, F. (2013) N-Valued Refined Neutrosophic Logic and its Applications in Physics. Progress in Physics, 4, 143-146.
[8] Smarandache, F. and Dezert, J. (2005) Information Fusion Based on New Proportional Conflict Redistribution Rules. Proceedings of the 8th International Conference on Information Fusion, Philadelphia, 25-29 July 2005.