School of Mechatronic Engineering, Beijing Institute of Technology, 100081 Beijing, P.R. China;
School of Computer and Information Technology, Beijing Jiaotong University, 100044 Beijing, P.R. China School of Information Engineering, NanChang University, 330029 NanChang, P.R. China;
School of Computer and Information Technology, Beijing Jiaotong University, 100044 Beijing, P.R. China;
School of Computer and Information Technology, Beijing Jiaotong University, 100044 Beijing, P.R. China;
online risk assessment; intrusion detection; alert processing; intrusion response; D-S evidence theory;
机译:基于AHP和D-S证据理论的矿井地下突水风险评估新模型。
机译:基于D-S证据理论的海河流域干旱时期水安全风险评估
机译:基于粗糙集和D-S证据理论的配电网设备运行风险评估
机译:侵扰情景的在线风险评估D-S证据理论
机译:使用概率,证据理论和专家判断启发对高风险环境中的不确定性进行评估。
机译:基于灰色关联分析和D-S证据理论的模糊软集合决策方法:在医学诊断中的应用
机译:基于D-S证据理论的海河流域干旱时期水安全风险评估