Group for Research in Decision Analysis

Information imperfections in multiple criteria decision aiding: Modeling, processing and robustness concerns

Sarah Ben Amor Associate Professor, Telfer School of Management, University of Ottawa, Canada

In most multicriteria decision aiding situations, the presence of different types of information imperfections such as uncertainty, imprecision, ambiguity, ..., is inevitable. In such contexts, robustness appears as a natural concern. A multiple criteria aggregation procedure was designed to handle imperfections affecting the evaluations of alternatives according to different criteria. It is extended towards a more robust procedure where imperfections affecting the parameters of the procedure are treated. A brief literature review on the issue of robustness in Multicriteria decision analysis will be presented and the link between modeling approaches for different types of information imperfections and the robustness concern will be explored.