Imroving the robustness of multicriteria decision making

Selecting among alternatives is a central and frequent decision in design. This selection is often done to satisfy multiple criteria and with imperfect information. This paper proposed a new method for handling extreme uncertainty in multicriteria decision-making based on Analytic Hierarchy Process (AHP) and info-gap models of uncertainty. The method foundation is briefly reviewed and it is illustrated on a simple problem. Subsequently, the paper formulates a new problem in decision-making with a proposed solution. Instead of asking how to exercise "good" (we say good because there is no best) selection practice (e.g., selection among alternative product concepts), the decision setup changes to include resources, and the question becomes: how to spend them optimally to improve information quality for making choices that are more robust. The new method is illustrated on a simple selection problem.