Data Integration and Classification for an Officer Selection System
François Lescreve · Defense Technical Information Center (DTIC) · 2000
This paper focuses on the integration of different selection data in order to select and assign officer applicants. First the problem is defined. Three topics are discussed in more detail: the heterogeneousness of the selection data on hand and the problems this can cause, the integration of selection data in order to estimate the suitability of an individual for a specific officer training and the problem of the allocation of candidates to different vacancies. Next, possible approaches are discussed and finally, the paper comes to some conclusions. These advocate the use of modern multicriteria and multidimensional classification methods to capitalize on the applicant population to optimize the officer corps quality.