A Multivariate Mapping Function for Combat Power Appraisal in the Airland Research Model

Abstract

This thesis attempts to develop an equation, based on expert opinion, that models the appraisal of combat power. The motivation came from identifying a shortcoming in the assignment of combat power in the AirLand Research Model (ALARM). A link is needed to join the Basic Inherent Power (BIP) of a unit and its Adjusted Basic Inherent Power (ABIP). The ABIP is a discounted portion of the BIP based on the current mission and status of the unit. The unit and mission explored in this thesis was a mechanized infantry task force in the attack. The survey required combat arms officers to give categorical judgments on unit effectiveness, based on the state of the unit. Four state variables were used. 144 different unit profiles were generated and divided into four versions of the survey. Surveys were completed by students at the Army Combined Arms and Services Staff School and the Army War College. Response rate was approximately 80%. Survey responses were transformed to numerical values using an interval scaling technique. These values and the variable settings were used in regression analysis. The best fit model was used to develop the Unit Appraisal Function (UAF). The UAF can now link the BIP to the ABIP, based on the mission and status of the unit.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA205821

Entities

People

  • J. M. Le Gare

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Defense
  • Air Force
  • Combat Support
  • Data Science
  • Databases
  • Delphi Method
  • Engineering
  • Equations
  • Information Science
  • Judgment
  • Operating Systems
  • Regression Analysis
  • Students
  • Surveys
  • Task Forces
  • War Colleges
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Military Science
  • Regression Analysis.