论文标题
在模型不确定性下，在战争中选择最佳策略的强大决策框架
A Robust Decision Making Framework for Optimal Strategy Selection in Warfare under Model Uncertainty
论文作者
论文摘要
在本文中，介绍了一个框架，用于在战斗情况下发生最佳决策问题中的不确定性，以便选择最佳策略。流行的Lanchester的瞄准射击模型的随机版本被认为是描述Combet Dynamics的基础战斗系统，并且在这一最佳决策规则上构建了分配力的最佳决策规则。这种方法导致一个非常可扩展的最佳决策框架，其中通过同时处理有关关键战斗参数的强大不确定性来选择最佳策略。
In this paper is presented a framework for treating uncertainty in optimal decision problems occuring in combat situations, in order to robustly select the optimal strategy. A stochastic version of the popular Lanchester's aimed-fire model is considered as the underlying combat system describing the combet dynamics, and upon this an optimal decision rule for allocating forces is constructed. This approach results to a very extendable optimal decision framework, where the optimal strategy is chosen by simultaneously treating robustly uncertainty regarding critical combat parameters.
