| Summary: | 碩士 === 華梵大學 === 資訊管理學系碩士班 === 99 === Legislative Yuan National Defense Committee on 95 May 17 trial through the "Establishment and Management of Military Official Shed Demand" Department of Defense will be given to abandoned camp turned into a " Official Shed Demand "to achieve the purpose of care for active duty. In recent years, military research for the implementation of the policy change, a large number of reduced manpower, the vacancy caused by many camps, advanced countries should follow the example of Europe and the United States "official-post system", in the existing vacant building camps for the active lives of married men with working hours, this thesis needs to design the questionnaire to the Chancery office reference, the relevant military personnel volunteer service questionnaires, through the Decision tree and Particle Swarm Optimization algorithms to provide classification rules, Duty Official Shed Demand consideration, according to practical needs of officers to build Official Shed Demand.
How to provide confortable Official Shed Demand will become an important issue to take care of soldiers. In this thesis, an Air Force unit to conduct interviews with the questionnaire data research, Using the Decision Tree and Particle Swarm Optimization Algorithm to find the best Decision Tree model, and provide rules needled to construct the Official Shed Demand, The results of this thesis, using the algorithm of its accuracy rate of up to 95.45%. The accuracy rate than the use of default parameter values of the Decision Tree algorithm for high accuracy rate of 84.2%. Later can do the reference of the construction of Official Shed Demand .
Key words：Official Shed Demand, Defense Transformation Planning, Volunteer force, Decision Tree, Particle Swarm Optimization
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