摘要
针对降阶态易损性分析方法无法进行双向推理、不能描述动态毁伤状态,以及贝叶斯网络节点条件概率表难以构造、毁伤概率和毁伤状态数据难以确定等不足,提出基于T-S动态毁伤树和贝叶斯网络的降阶态易损性分析的阵地毁伤效能评估方法。利用T-S动态毁伤树构造贝叶斯网络模型,以T-S门规则构造中间节点条件概率表;利用降阶态易损性分析方法细化阵地功能毁伤状态,实现物理毁伤向功能毁伤的转化,结合贝叶斯网络开展阵地毁伤效能评估,为阵地毁伤评估与火力打击决策提供依据。
In order to solve the disadvantages of complicated calculation,no reverse inference and cannot describe the dynamic damage status and other issues in degraded states vulnerability methodology,and the shortage of difficulty to construct the model and probability table of node conditions,and the damage probability and damage state data can not be determined in Bayesian network,the degraded states vulnerability methodology based on T-S dynamic damage tree and Bayesian network is proposed:T-S dynamic damage tree is used to replace traditional damage tree to construct Bayesian network model,and T-S gate rule is used to construct intermediate node conditional probability table;The degraded states vulnerability methodology is used to refine the functional damage state of the position,and the damage effectiveness of a position warning hysteresis system is evaluated by combining Bayesian network,which provides the basis for position damage evaluation and firepower strike decision.
作者
徐鹏
邬建华
吴宜珈
孙健
黄斌
XU Peng;WU Jianhua;WU Yijia;SUN Jian;HUANG Bin(Army Engineering University of PLA,Nanjing 210007,China;Unit 31102 of PLA,Nanjing 210007,China;Unit 32526 of PLA,Wuxi 214000,China)
出处
《火力与指挥控制》
CSCD
北大核心
2022年第9期90-97,共8页
Fire Control & Command Control
