Thesis (M.S. in Computer Science)--Naval Postgraduate School, June 1990. / Thesis Advisor(s): last name, first name Eagle, James N. ; Yurchak, John M. "June 1990." Description based on title screen as viewed on October 16, 2009. DTIC Descriptor(s): Test and evaluation, computerized simulation, simulation, military personnel, theater level operations, decision making, interfaces, navy, prototypes, time, graphics, language, user needs, computer applications, war games, officer personnel, timeliness, battles, syntax, stresses DTIC Indicator(s): Man computer interface, war games, computerized simulation, prototypes, theses, naval training, installation. Author(s) subject terms: RESA, graphic user interfaces, computer wargame simulations, BATMAN and ROBIN, man-machine interfaces. Includes bibliographical references (p. 67). Also available in print.

Communications is a critical enabling capability that is interwoven into every facet of every military operation. Assessing what communication capability is most valuable to the operation is a vital planning process tha t currently resides in several processes that produce differing outcomes within the DoD. This thesis examines these planning processes, particularly the capability-based approach, assessing which process is optimum for determining communication shortfalls. An in depth comparison of the Joint Capabilities Integrated Defense System (JCIDS) and USNORTHCOM's Capability Review and Resource Assessment (CRRA) was conducted, examining the respective strengths and weakness of each process. This thesis then recommends an optimized hybrid solution of the CRRA and JCIDS, thus providing an intuitive methodology that can be used to model what communication capabilities are essential to the DoD and its interagency partners. Ultimately, this model may serve to guide the defense planning process to ensure meaningful collaboration occurs, when crafting a unified DoD and interagency position regarding communications and network-centric capability needs and shortfalls. Particular utility can be applied to fill the gap of interoperable communications solutions between first responders, the military, interagency and Coalition partners, when teaming in a homeland defense scenario. / US Air Force (USAF) author.

No description available.

Approved for public release; distribution is unlimited / Throughout history people have searched for a means of predicting the outcomes of battles. Data analysis is a way of understanding the factors associated with battle outcomes. There are objective factors, such as force ratio, and subjective factors, such as leadership, that affect battles. Subjective factors are hard to determine and thus are usually avoided in models. Here, nationality is investigated as a surrogate for subjective factors. That is, we want to see how nationality is associated with battle outcomes by exploring the best available data set on historical land combat-developed by the Center for Army Analysis. We focus on four countries for which there is sufficient data: the USA, Germany, Britain and Israel. We find that these countries historically use a substantial amount of military power to defeat their enemies. In particular, the USA often has overwhelming force. Using classification tree models, with a correct classification rate of 79 percent, the results suggest that nationality was the most important factor in battles before World War I and the second most important factor during the World Wars. Force ratio was the most important factor in WWI and artillery ratio in WWII. In the years following WWII, the dominant variable has been air force ratio. / First Lieutenant, Turkish Army

Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 1990. / Thesis Advisor(s): Caldwell, William J. ; Johnson, Laura D. Second Reader: Whitaker, Lyn R. "September 1990." Description based on title screen as viewed on December 18, 2009. DTIC Descriptor(s): Test And Evaluation, Data Bases, Warfare, Land Warfare, Maximum Likelihood Estimation, Theory, Coherence, Planning, War Games, Battles, Corps Level Organizations. DTIC Identifier(s): Army Operations, War Games, Land Combat Operations, Theses, Army Planning, Data Bases, Mathematical Models. Author(s) subject terms: Land warfare, military planning, military science, theory of combat, categorical modeling, multivariate analysis. Includes bibliographical references (p. 52-53). Also available in print.

Thesis (M.S. in Operations Analysis)--Naval Postgraduate School, June 2003. / Thesis advisor(s): Thomas W. Lucas, Samuel E. Buttrey. Includes bibliographical references (p. 73). Also available online.

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Thesis (M.A.)--Ohio University, March, 2007. / Title from PDF t.p. Includes bibliographical references.

Thesis (M.S.)--Oregon State University, 2009. / Printout. Includes bibliographical references (leaves 35-36). Also available on the World Wide Web.