Multi-attribute decision making based on fuzzy outranking

Decision maker usually should consider multi-attribute alternatives and choose one or some of them which seems to be best or better than others. Especially in the developed information society, there is a plenty of information for each alternative, and it is not quite easy to find out some of most proper alternatives in view of important attributes. In this paper, we propose a ranking method with uncertainty for multi-attribute alternatives which would help decision maker to decide what alternatives should be proper for a problem he/she is confronting. Since our method is systematically completed with some numerical computations and with fuzzy outranking method, it makes the decision maker possible to concentrate to each attribute and to retain the uncertainty of their priorities up until the final stage.