Date of Award
Spring 2013
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Engineering Management & Systems Engineering
Program/Concentration
Engineering Management and Systems Engineering
Committee Director
Adrian Gheorghe
Committee Member
Resit Unal
Committee Member
Holly Handley
Committee Member
Gokay Sursal
Abstract
This main objective of this dissertation is to propose an expert based multi attribute group decision making model (MAGDM) for portfolio evaluation and demonstrate it by applying it to evaluate brigade types under different military missions. Specifically, currently used Heavy, Mechanized Infantry, Airborne Infantry, and Stryker brigades are evaluated under a set of possible future military missions. The purpose of the study is to provide a model for decision makers, engaged in a force development process.
This study combined MAGDM and simulation by using expert judgments to create distributions rather than aggregating them into point values. Excel and Monte Carlo simulation software are exploited to create the model.
This dissertation will primarily be of interest to force planners and high-level decision makers in the land forces and broader Department of Defense and other parts of the government concerned with defense planning. It should also be of interest to researchers focusing on decision making, specifically Multi Attribute Decision Making (MADM), and Multi Attribute Group Decision Making (MAGDM) under imprecise information, and engineers dealing with portfolio selection.
DOI
10.25777/3nbr-ch91
ISBN
9781303166198
Recommended Citation
Gultekin, Metin.
"An Expert Based Multi Attribute Group Decision Making (MAGDM) Model for Portfolio Evaluation: Application on Ground Force Units"
(2013). Doctor of Philosophy (PhD), Dissertation, Engineering Management & Systems Engineering, Old Dominion University, DOI: 10.25777/3nbr-ch91
https://digitalcommons.odu.edu/emse_etds/159
Included in
Industrial Engineering Commons, Operational Research Commons, Systems Engineering Commons