NONPARAMETRIC STATISTICS IN MULTICRITERIA ANALYSIS

The paper deals with a method of hierarchization of alternatives in a multicriteria environment by means of statistical nonparametric proced ures. For each criterion, alternatives are disposed on an ordinal scal e. After that a procedure similar to ANOVA is activated on the data. T he differences relating to the average ranks of each action are used t o build the hierarchical algorithm. The concept of outranking, in a pr obabilistic meaning, is reached in this way. Thereafter, we arrive at the concept of dominance using pairwise comparisons. A case study is p resented which implements the methodological suggestion.