Modelling Inaccurate Determination, Uncertainty, Imprecision Using Multiple Criteria

The purpose of this paper is to study how the consideration of several criteria, as opposed to a more traditional mono-criterion approach, helps the modelling of imprecision, uncertainty and inaccurate determination (I.U.I.D.) in a decision-aid study. After a brief review of the main sources of inaccurate determination, uncertainty and imprecision that arises in a decision-aid situation, we show that the use of multiple criteria allows to build partial preference structures, to discuss in a powerful way the precision of the evaluation on each criteria and to create a clear language between the actors via the use of the evaluation tableau. We argue that this proves useful in dealing with I.U.I.D.