Ranking alternatives in collective decision making with imprecise information

In this paper we propose a procedure for multicriteria collective decision-making problems. It is especially suitable for situations in which each member of a group offers imprecise information on his/her preferences about the relative importance of the criteria that have to be taken into account to obtain a ranking of a set of alternatives. In a first step the partial information on criteria weights provided by each individual is transformed into ordinal information on alternatives, and then the aggregation of individual preferences is addressed within a distance-based framework.