Automated Support for Battle Operational–Strategic Decision-Making

Battle casualties are the subject of study in military operations research, which applies mathematical models to quantify the probability of victory vs. loss. In particular, different approaches have been proposed to model the course of battles. However, none of them provide adequate decision-making...

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Bibliographic Details
Published in:Mathematics (Basel) 2021-07, Vol.9 (13), p.1534
Main Authors: Minguela-Castro, Gerardo, Heradio, Ruben, Cerrada, Carlos
Format: Article
Language:English
Subjects:
Adaptive control
battle situation
Casualties
combat models
Control theory
Decision making
decision support systems
Mathematical models
Mathematics
Military operations
Operations research
Ordinary differential equations
Predictive control
system dynamics
warfare information system
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Summary:Battle casualties are the subject of study in military operations research, which applies mathematical models to quantify the probability of victory vs. loss. In particular, different approaches have been proposed to model the course of battles. However, none of them provide adequate decision-making support for high-level command. To overcome this situation, this paper presents an innovative high-level decision-making model, which uses an adaptive and predictive control architecture. The paper reports empirical evidence supporting our model by considering one of the greatest battles of World War II: the Battle of Crete.
ISSN:2227-7390
2227-7390
DOI:10.3390/math9131534