[1] 刘楠楠, 张靖, 张永利. 动态变因子层次分析法在弹道导弹威胁评估中的应用[J]. 中国电子科学研究院学报, 2016, 11(3): 288-292. (Liu Nannan, Zhang Jing, Zhang Yongli.Application of Dynamic Variable Factor Analytic Hierarchy Process to the Threat Assessment of Ballistic Missile[J]. Journal of China Academy of Electronics and Information Technology, 2016, 11(3): 288-292.) [2] 赵均伟, 赵建军, 欧阳中辉. 基于变权TOPSIS法多属性威胁评估与任务调度[J]. 现代防御技术, 2015, 43(5): 104-110. (Zhao Junwei, Zhao Jianjun, Ouyang Zhonghui.Multiple Attribute Threat Evaluation and Task Scheduling Based on Variable Weights TOPSIS Method[J]. Modern Defence Technology, 2015, 43(5): 104-110. [3] Dubey D, Chandra S, Mehra A.Fuzzy Linear Programming under Interval Uncertainty Based on IFS Representation[J]. Fuzzy Sets & Systems (S0165-0114), 2012, 188(1): 68-87. [4] 张银燕, 李弼程. 基于MIN-MAX云重心推理的目标威胁评估方法[J]. 系统仿真学报, 2014, 26(2): 411-418. (Zhang Yinyan, Li Bicheng.Method of Target Threat Assessment Based on Cloudy MIN-MAX Center of Gravity Reasoning[J]. Journal of System Simulation, 2014, 26(2): 411-418.) [5] 韩斌, 苏奎峰. 改进型RBF神经网络下目标威胁评估[J]. 价值工程, 2015(6): 306-307. (Han Bin, Su Kuifeng.Threat Assessment of Target Based on Improved RBF[J]. Value Engineering, 2015(6): 306-307.) [6] Beaver J M, Kerekes R A, Treadwell J N.An Information Fusion Framework for Threat Assessment (S8755-3996)[C]// International Conference on Information Fusion. USA: IEEE, 2009: 1903-1910. [7] 王小龙, 宋裕农, 丁文强. 基于分层贝叶斯网络的反潜编队对潜威胁估计[J]. 火力与指挥控制, 2014(4): 82-85. (Wang Xiaolong, Song Yunong, Ding Wenqiang.Method for Evaluate Threat of Anti-submarine War Fleet to Submarine Based on Hierarchical Bayesian Network[J]. Fire Control & Command Control, 2014(4): 82-85.) [8] 卞泓斐, 杨根源. 基于动态贝叶斯网络的舰艇防空作战威胁评估研究[J]. 兵工自动化, 2015, 34(6): 14-19. (Bian Hongfei, Yang Genyuan.Threat Assessment on ship Air Defense Based on Dynamic Bayesian Network[J]. Ordnance Industry Automation, 2015, 34(6): 14-19. |