Preference learning in multi-objective decision making

This project investigates the current state of the art methods and algorithms relevant for decision making support systems. Focus points of the investigation are multi- and many-objective evolutionary optimisation methods as well as non-evolutionary MCDM methods and methods from portfolio management in relation to decision making support systems in which user of a system are supported in the task of selecting solutions from a numerically identified Pareto front.