Assessing and ranking multi-attribute decision alternatives: an experiment
95Mar_Tiller.pdf (4.274Mb)Abstract
This thesis documents the collection and analysis of experimental data used to compare and contrast three methods of evaluating attribute choices that have no natural measurement basis. Attribute choice evaluation is prerequisite to ranking and evaluating multi-attribute decision alternative sets. Data for the methods center on subjective inputs from subject matter experts. The particular experiment collected response data from 27 experts in the United States Navy LAMPS (Light Airborne Multipurpose System) helicopter community attached to the Naval Postgraduate School. The pilots compared three helicopter systems (attribute choices) in each of four system categories (attributes); weapons, navigation systems, communication systems, and sensors. The complete procedure would evaluate every feasible helicopter system suite (decision alternative set), each set composed of one attribute choice from every attribute, facilitating ordinal ranking of the sets. Thesis results present consistency analyses of the experts' responses within, and between, the three methods of determining attribute choice values.
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