A Decision Aid Model for a Maneuver Force Commander That Incorporates the Quantified Judgment Model

Abstract

The Commander on the modern battlefield has the responsibility of supervising more assets and evaluating more information than ever before. Therefore, there exists a need an aid to assist the commander in selecting a recommended course of action. The purpose of this thesis was to develop a tactical decision aid model that would assist the commander in selecting a course of action. The Quantified Judgement Model (QJM) served as the algorithm in this decision aid model. The QJM is a combat model that analyzes ground combat with a primary focus on the historical aspect of combat. Factors that served as input for the decision aid model included: 1. Initial force structure for a U.S. and Soviet force, 2. non tactical variables that influence the battle, 3. intelligence, 4. Operational and environmental factors, and 5. current doctrine. The model varied the input variables and determined a force structure necessary for the battle to end in a draw. The primary focus of this thesis was not the assumptions made in the model or the tactical situation examined, but the methodology used in developing the model. Theses.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA208777

Entities

People

  • James C. Moughon Iii

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Battles
  • Combat Effectiveness
  • Combat Simulations
  • Computer Programs
  • Computer Simulations
  • Doctrine
  • Fire Support
  • Force Structure
  • Game Theory
  • Military History
  • Military Organizations
  • Military Science
  • Operations Research
  • Tactical Air Support
  • Warfare
  • Weapon Systems

Readers

  • Computational Modeling and Simulation
  • Military History / Militaries and War Studies
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.