Methodology for targeting analysis for minimal response

W. P. Fox and J. Hansberger

The Journal of Defense Modeling and Simulation, 2018, vol. 15, issue 3, 323-336

Abstract: Target planning is done by our military. The purpose of this article is to describe a possible methodology based upon military parameters to measure the adequacy of a set of potential targets. The goal is to select targets that do not cause any unacceptable military escalation. A hybrid analytical hierarchy process-technique for order of preference by similarity to ideal solution (AHP-TOPSIS) approach is used to obtain target priorities and target values. The target values become one of the independent variables in the binary logistics regression model. Using sample unclassified baseline data, a binary logistics regression model is built and analyzed as a predictive tool. The model is used as a predictive tool with future target data to measure the probability of an escalation. Sensitivity and specificity are used to determine appropriate probability values for red line analysis.

Keywords: AHP; binary logistics regression; CARVER matrix; prediction model; red line; targeting data (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:joudef:v:15:y:2018:i:3:p:323-336

DOI: 10.1177/1548512917736821

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