基于加权信度熵的传感器数据冲突度量与融合
周颖, 唐永川, 赵晓哲. 基于加权信度熵的传感器数据冲突度量与融合[J]. 电光与控制, 2018, 25(6): 48.
ZHOU yin, TANG Yongchuan, ZHAO Xiaoze. Weighted Belief Entropy Based Conflict Measure and Fusion of Sensor Data[J]. Electronics Optics & Control, 2018, 25(6): 48.
[1] 张堃,周德云,王谦,等.基于模糊决策树的机载多传感器智能管理方法［J］.计算机应用,2011, 31(12):3255-3257.
[2] 王越,周德云,杨维,等.多种异类传感器联合跟踪的异步航迹融合算法［J］.弹箭与制导学报,2014, 34(2):153-156.
[3] 柳毅,高晓光,卢广山,等.基于加权证据组合的多传感器目标识别［J］.系统工程与电子技术,2003, 25(12):1475-1477.
[4] 宋建辉,张俊,刘砚菊,等.基于LBP-PCA的多传感器目标识别算法［J］.火力与指挥控制,2017, 42(2):60-63.
[5] DEMPSTER A P.Upper and lower probabilities induced by a multivalued mapping［J］.Annals of Mathematical Statistics, 1967, 38(2):325-339.
[6] SHAFER G.A mathematical theory of evidence［M］.Princeton：Princeton University Press, 1976.
[7] YANG Y, HAN D. A new distance-based total uncertainty measure in the theory of belief functions［J］.Knowledge-Based Systems, 2016, 94:114-123.
[8] SONG Y, WANG X, LEI L, et al.Uncertainty measure for interval-valued belief structures［J］.Measurement, 2016, 80:241-250.
[9] DENG Y.Deng entropy［J］.Chaos Solitons & Fractals, 2016, 91:549-553.
[10] DENG Y, SHI W, ZHU Z, et al.Combining belief functions based on distance of evidence［J］.Decision Support Systems200438(3):489-493.
[11] MURPHY C K.Combining belief functions when evidence conflicts［J］.Decision Support Systems, 2000, 29(1):1-9.
周颖, 唐永川, 赵晓哲. 基于加权信度熵的传感器数据冲突度量与融合[J]. 电光与控制, 2018, 25(6): 48. ZHOU yin, TANG Yongchuan, ZHAO Xiaoze. Weighted Belief Entropy Based Conflict Measure and Fusion of Sensor Data[J]. Electronics Optics & Control, 2018, 25(6): 48.
PDF全文
