Optimization of decision support system based on three-stage threat evaluation and resource management

This paper demonstrates a novel decision support system for threat evaluation and weapon assignment (TEWA). The knowledge-based system is built on threat perception, optimal schedules and assignments of weapons available for the threat neutralization. Mostly, in real warfare circumstances, the quantity of threats targeting vulnerable assets/points (VA/VPs) is large in comparison with the deployed resources. Therefore, performing threat analysis and weapon assignment is critical in real-time scenarios. In this research work, an integrated unique technique is proposed for automatic TEWA technique for effective threat neutralization. Our results show that the proposed approach significantly improves on traditional manual system. In previous studies, threats are categorized based on the type assumptions and weapons are assigned accordingly. In this paper, an efficient TEWA-DSS is presented for (1) threat perception and optimum (2) multiple threat scheduling problem. This process is comprised of three stages. At first stage, threat is perceived. At the second stage, threats are evaluated. At third stage, weapons are scheduled and assigned optimally.