Coupling conceptual and numerical models in decision support

Abstract

Decision support systems (DSS) combine methods of business administration, mathematics, databases, and dialog systems to assist responsibles in modelling and resolving complex decision problems. DSS are usually configured from existing, often mathematical, representations and tools for the chosen application domain. The traditional difficulty that models are either oversimplified or rejected by decisionmakers for incomprehensibility can be, overcome in part, by attaching knowledge-based control mechanisms. The author presents language concepts and example systems that realize this coupling approach, and sketches a concept for integrated, normatively oriented DSS modeling and solution environments based on the idea of model reusability.<>