Analysis of Alternatives: Multivariate Considerations.
Abstract
The Aeronautical System Center (AS C) is developing a Simulation and Analysis Facility (SIMAF) that will link models, simulations, hardware-in-the-loop, and system-rn- the-loop resources to create a robust virtual environment supporting assessment of alternate systems in the defense acquisition process. ENS is assisting ASC with scenario development, experimental design, and battleroom visualization efforts for a SIMAF capability demonstration. This thesis uses multivariate analysis and visualization tools to develop an approach for reducing the dimensionality of multiple campaign level measures of effectiveness for a notional Analysis of Alternatives (AoA) study. Additionally, the thesis advances an AoA visualization paradigm for the SIMAF capability demonstration. The results of this study suggest that multivariate data reduction techniques and user interactive visualization of multivariate analysis results can be employed to combine multiple MOEs into a reduced set of interpretable factors capturing the operational effectiveness performance of competing acquisition alternatives. The thesis research also successfully demonstrated a visual data mining approach applied to the visualization of campaign level analysis results and the cost/effectiveness integration of an AoA effort.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1998
- Accession Number
- ADA342391
Entities
People
- John J. Siegner
Organizations
- Air Force Institute of Technology