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Methodology for targeting analysis for minimal response

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  • W. P. Fox
  • J. Hansberger

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.

Suggested Citation

  • W. P. Fox & J. Hansberger, 2018. "Methodology for targeting analysis for minimal response," The Journal of Defense Modeling and Simulation, , vol. 15(3), pages 323-336, July.
    • Handle: RePEc:sae:joudef:v:15:y:2018:i:3:p:323-336
    DOI: 10.1177/1548512917736821
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    References listed on IDEAS

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    1. William P. Fox, 2015. "Introduction to Multi-attribute Decision Making in Business Analytics," Springer Books, in: Fausto Pedro García Márquez & Benjamin Lev (ed.), Advanced Business Analytics, edition 127, pages 55-91, Springer.
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    Cited by:

    1. Zbyšek Korecki & Tomas Hoika & Jiří Ulvr & Miroslav Janošek & Matuš Grega, 2024. "Simulation of the attack helicopter Mil Mi-24 conducting anti-surface air operations in support of a battalion task group," The Journal of Defense Modeling and Simulation, , vol. 21(2), pages 245-258, April.

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