A Multicriteria Stratification Framework for Uncertainty and Risk Analysis

We present a new decision framework for handling uncertainty and risk based on stratifying uncertainty in a model whose structure parallels that of multicriteria optimization. The approach incorporates multiple risk perspective without homogenizing them into one representative function. Rather than requiring a priori omniscience about how factors will interact, it generates progressively amended decision templates based on model outcomes.