万树平. 多传感器目标识别的改进灰关联度法[J]. 计算机工程与应用, 2009, 45(24): 25-27. Wan Shuping. Method of improved grey relational degree for multi-sensor target recognition[J]. Computer Engineering and Applications, 2009, 45 (24): 25-27.
[2]
Algridas A, Laprie J C, Randell B, et al. Basic concepts and taxonomy of dependable and Secure computing[J]. IEEE Transactions on Dependable and Secure Computing, 2004, 1(1): 11-33.
[3]
李琼, 杨晓祥. 多传感器数据融合模型的研究[J]. 计算机与现代化, 2013(4): 158-161. Li Qiong, Yang Xiaoxiang. Research on multi-sensor data fusion model[J]. Computer and Modernization, 2013(4): 158-161.
[4]
王宁, 郭立, 金大胜, 等. 遗传算法在多传感器多目标静态数据关联中 的应用[J]. 数据采集与处理, 1999, 60(1): 18-21. Wang Ning, Guo Li, Jin Dasheng, et al. Application of genetic algorithm in multi sensor multi target static data association[J]. Journal of Data Acquisition and Processing, 1999, 60(1): 18-21.
[5]
王俊林, 张剑云. 基于统计证据的Mass函数和D-S证据理论的多传感 器目标识别[J]. 传感技术学报, 2006, 212(3): 862-864. Wang Junlin, Zhang Jianyun. Multisensor target identification based on mass function of statistical evidence and D-S evidence theory[J]. Chinese Journal of Sensors and Actuators, 2006, 212(3): 862-864.
[6]
孙勇, 景博, 张吉力. 最优加权与递推最小二乘法相结合的多传感器 信息融合[J]. 传感技术学报, 2004, 156(4): 630-634. Sun Yong, Jing Bo, Zhang Jili. Multi-sensor information fusion based on the combination of optimal weight and recursive least square algorithm[J]. Journal of Transcluction Technology, 2004, 156(4): 630-634.
[7]
Bogler, Shafer-Dempster R L. Reasoning with application to multi-sensor target identification system[J]. IEEE Transactions on Systems, Man and Cybernetics, 2003, 202(4): 133-136.
[8]
Arinivas M S, Andrew H S. Identifying significant features for network forensic analysis using artificial intelligent techniques[J]. International Journal of Digital Evidence, 2003, 189(6): 63-69.
[9]
刘源, 谢维信, 杜文吉, 等. 基于多传感器多目标特征信息的模糊数据 关联算法[J]. 系统工程与电子技术, 1998, 128(12): 18-23. Liu Yuan, Xie Weixin, Du Wenji, et al. Fuzzy data association algorithm based on multisensor and features of targets[J]. Systems Engineering and Electronics, 1998, 128(12): 18-23.
[10]
刘付显, 邢清华. 基于D-S融合证据的决策新方法[J]. 系统工程理论 与实践, 2009, 29(7): 125-131. Liu Fuxian, Xing Qinghua. New decision making method based on D-S fusion evidence[J]. Systems Engineering-Theory & Practice, 2009, 29(7): 125-131.
[11]
李特, 冯琦, 张堃. 基于熵权灰色关联和D-S证据理论的威胁评估[J]. 计算机应用研究, 2013, 1(2): 380-382. Li Te, Feng Qi, Zhang Kun. Threat assessment based on entropy weight grey incidence and D-S theory of evidence[J]. Application Research of Computers, 2013, 1(2): 380-382.
[12]
Zhu J M, Yang S B. A grid&p2p trust model based on recommendation evidence reasoning[J]. Journal of Computer Research and Development, 2005, 42(5): 797-803.
[13]
Hu R, Liu J X, Liu X F. A trustworthiness fusion model for service cloud platform based on D-S evidence theory[C]//11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Newport Beach, 2011: 566-571.
[14]
袁禄来, 曾国荪, 王伟. 基于Dempster-Shafer证据理论的信任评估模 型[J]. 武汉大学学报, 2006, 52(5): 627-630. Yuan Lulai, Zeng Guosun, Wang Wei. Trust evaluation model based on Dempster-Shafer evidence theory[J]. Journal of Wuhan University, 2006, 52(5): 627-630.
[15]
Wang Yingming, Yang Jianbo. The evidential reasoning approach for multiple attribute decision analysis using interval belief degrees[J]. European Journal of Operational Research, 2006, 175(1): 35-66.
[16]
Abdu-l Rahman A, Hailes S. Supporting trust in virtual communit ies[C]//Proceedings of the 33rd Hawaii International Conference on System Sciences. Washington, DC: IEEE Computer Society Press, 2000: 6007-6016.
