A Robust Decision Making Framework for Optimal Strategy Selection in Warfare under Model Uncertainty

Georgios I. Papayiannis

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arXiv · 2207.00861

A Robust Decision Making Framework for Optimal Strategy Selection in Warfare under Model Uncertainty

Georgios I. Papayiannis

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Abstract

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.

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Georgios I. Papayiannis. 2022-07-02. A Robust Decision Making Framework for Optimal Strategy Selection in Warfare under Model Uncertainty. https://arxiv.org/abs/2207.00861

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