In emergency management decision problems, the available estimates of probabilities, utilities, costs, and priority (decision attribute) weights are often subject to large degrees of uncertainty and imprecision. When uncertainty prevails in the input data and large societal values are at stake, coping with this lack of precision becomes very important in decision making processes. Building on decision theory and analysis, we present a generalisation and refinement of a large-scale analysis method in emergency policy management, in this paper focussing on decision evaluation of different response strategies. It employs representation of imprecision in probabilities, utilities, and weights in the form of interval statements and comparisons together with a formal, comprehensive, and comprehensible description of a catastrophic consequence.