Stochastic Multicriteria Acceptability Analysis for Nominal is Best MCDA in the context of Generic Vehicles

摘要

Stochastic Multi-criteria Acceptability Analysis (SMAA) is used to assess potential generic vehicle designs that simultaneously match target fuel burn, NO_x emissions, and DNL noise contours. While SMAA is typically used for criteria with minimum is best or maximum is best formulation, the nature of the generic vehicle problem is a nominal is best formulation. Absolute value of error distributions transform the nominal is best problem into a minimum is best formulation, which provides the additional benefit of exposing the existence of model biases. Design rules for the criteria value functions with respect to the variance of the criteria are explored to avoid favoring accuracy in one metric versus another.