摘要
基于时间影响网络的作战效能评估方法得到了广泛应用.但是传统方法无法有效刻画和处理作战效果产生和传播的时间延迟不确定性,从而难以全面支持作战方案对作战意图达成效果的评估.针对时间影响网络中时间延迟确定性假设的局限,引入随机时间延迟和随机信度序列两个模型参数,形成了一种新的时间影响网络——随机时间影响网络,给出了随机时间影响网络的数学描述和信度传播算法.通过算例演示了随机时间影响网络建模的一般过程,验证了信度传播算法的有效性.
Timed influence net (TIN) is a powerful formalism to model uncertain causal relationship, and has been widely used in effectiveness evaluation of military operation alternatives. Stochastic timed influence net (STIN) is proposed to enhance TIN formalism by relaxing the constant delay assumption. Two key parameters, stochastic delay and stochastic belief sequence, are introduced in STIN to evaluate the effectiveness of alternatives under uncertain delays in the generation and propagation of operational effect. The mathematical description of and belief propagation algorithm in STIN is discussed in detail. This paper presents an example to illustrate the modeling process of STIN and the effectiveness of the belief propagation algorithm.
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2012年第8期1814-1825,共12页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(91024015,61074107)
关键词
随机时间影响网络
随机时间延迟
随机信度序列
因果关系建模
信度传播算法
stochastic timed influence nets
stochastic delay
stochastic belief sequence
causal relationship model
belief propagation algorithm