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.
","abstract_html":"<p>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.</p> <p>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.</p> <p>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.</p>","abstract_has_math":false,"creators":["Gultekin, Metin"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Engineering Management & Systems Engineering","degree_department":null,"school":null,"contributors":["Adrian Gheorghe","Resit Unal","Holly Handley","Gokay Sursal"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-04-01T07:00:00Z","date_published":"2013-04-01T07:00:00Z","updated_at":"2026-07-24T03:35:08Z","subjects":["Group decision making","MAGDM","Multi-criteria decision making","Portfolio evaluation","Industrial Engineering","Operational Research","Systems Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["9781303166198"],"render_values":[{"text":"9781303166198","href":null,"code":true}]}]},"links":{"outbound_url":"https://digitalcommons.odu.edu/emse_etds/159","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Adrian Gheorghe","Resit Unal","Holly Handley","Gokay Sursal"]},{"key":"dc:creator","label":"Author","values":["Gultekin, Metin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2019-09-23T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Engineering Management & Systems Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy (PhD)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Group decision making","MAGDM","Multi-criteria decision making","Portfolio evaluation","Industrial Engineering","Operational Research","Systems Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["9781303166198","https://digitalcommons.odu.edu/emse_etds/159"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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.
"]},{"key":"dc:title","label":"Title","values":["An Expert Based Multi Attribute Group Decision Making (MAGDM) Model for Portfolio Evaluation: Application on Ground Force Units"]}]}],"canonical_facts":{"dc:contributor":["Adrian Gheorghe","Resit Unal","Holly Handley","Gokay Sursal"],"dc:creator":["Gultekin, Metin"],"dc:date.available":["2019-09-23T07:00:00Z"],"dc:description.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.
"],"dc:identifier":["9781303166198","https://digitalcommons.odu.edu/emse_etds/159"],"dc:subject":["Group decision making","MAGDM","Multi-criteria decision making","Portfolio evaluation","Industrial Engineering","Operational Research","Systems Engineering"],"dc:title":["An Expert Based Multi Attribute Group Decision Making (MAGDM) Model for Portfolio Evaluation: Application on Ground Force Units"],"thesis:degree_discipline":["Engineering Management & Systems Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T03:35:08Z"}