Fuzzy Domination Graphs in Decision Support Tasks

In decision support tasks, one often has to deal with uncertainty due fuzzy judgments of the maker or expert. This paper proposes methods that allow you rank alternatives based on evaluations. is achieved by using weighted summation, implication, a computation graph showing criteria, and dominance alternatives. If criteria have equal importance, then graphs corresponding each are used. An algorithm used for both transition from ranking proposed. idea constructing Kemeny medians other concordant rankings at given confidence level in existence arcs. Computational experiments shown performance these approaches. It reasonable apply them problems require complex expert evaluations large number criteria.