Date of Award
3-10-2006
Document Type
Thesis
Degree Name
Master of Science in Operations Research
Department
Department of Operational Sciences
First Advisor
David R. Denhard, PhD
Abstract
Known as the fog of war, uncertainty has been prevalent in the conduct of military operations throughout human history. Intelligence collection efforts are tasked to reduce this uncertainty through the collection of information. Utilizing Shannon's entropy as a measure of the expected information gain due to an intelligence collection effort, a methodology is developed to prioritize and allocate intelligence assets in an efficient manner. Incorporated in this methodology are target priority and the requirement to reassess dynamic targets. The application area for the methodology is Effects-Based Operations. A generalized state model is developed to conduct adversary system-of-systems analysis. This model forms the basis for the entropy calculations and the resultant integer program to maximize the information gain.
AFIT Designator
AFIT-GOR-ENS-06-13
DTIC Accession Number
ADA446177
Recommended Citation
McLamb, Wilburn B., "Reducing Uncertainty in Effects-Based Operations" (2006). Theses and Dissertations. 3441.
https://scholar.afit.edu/etd/3441