  A novel approach for solving a multiple judge, multiple criteria decision
making (MCDM) problem is proposed. The ranking of alternatives that are
evaluated based on multiple criteria is difficult, since the presence of
multiple criteria leads to a non-total order relation. This issue is handled by
reinterpreting the MCDM problem as a multivariate statistics one and by solving
it via set optimization methods. A function that ranks alternatives as well as
additional functions that categorize alternatives into sets of "good" and "bad"
choices are presented. Moreover, the paper shows that the properties of these
functions ensure a logical and reasonable decision making process.
