This paper aims to present an exploratory methodology suggested to support decision-making under uncertainty when assessing the sustainability of natural risks management strategies. The methodology focuses mainly on coping with input data-induced uncertainty that could result either from non-precise measurements, variability of models outputs or subjective estimations. It consists of estimating input data uncertainties and propagating them through the assessment process in order to quantify the uncertainty related to the results. Decision-maker can then, with full knowledge of the variability of results, establish a final ranking on which the decisionmaking could rely on. The applicability of the methodology is illustrated through a case s...