Journal
MODELING AND SIMULATION FOR DEFENSE SYSTEMS AND APPLICATIONS XI
Volume 9848, Issue -, Pages -Publisher
SPIE-INT SOC OPTICAL ENGINEERING
DOI: 10.1117/12.2222172
Keywords
decision support; MCDM; data analysis; information fusion; data farming; big data analytics; prescriptive analytics; operation planning
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In this paper, we develop methods for analyzing large amounts of data from a military ground combat simulation system. Through a series of processes, we focus the big data set on situations that correspond to important questions and show advantageous outcomes. The result is a decision support methodology that provides commanders with results that answer specific questions of interest, such as what the consequences for the Blue side are in various Red scenarios or what a particular Blue force can withstand. This approach is a step toward taking the traditional data farming methodology from its analytical view into a prescriptive operation planning context and a decision making mode.
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