Fuzzy logic to improve the robustness of decision support systems under uncertainty

Abstract

Companies deal with many decision-making processes whose impact on the global performance can be very strong. As a consequence, the role of Decision Support Systems (DSSs) within the organization is critical. The ability of managing uncertainty turns to be a crucial issue for a DSS. In particular, the design of a DSS, that requires the formalization of the expert's preferences is usually affected by uncertainty. In this case, evaluating the system's robustness is an effective way to evaluate its ability in managing uncertainty. In this paper fuzzy logic is proposed as a technique to design a robust DSS. A quantitative method and an experiment to compare the robustness of a DSS based on fuzzy logic and the one of a weighting method are proposed.