Consequence modelling based on stated preferences

Abstract A decision making framework is developed that includes several decision makers (instead of just one) having different preferences and value systems. The information provided by the varying opinions of decision makers can be used to optimise our own decision making. To achieve this, likelihood functions are developed for stated preferences among both discrete and continuous alternatives, and stated preference rankings of alternatives. The specific case is considered of optimisation of the lifecycle utility of a ...