Modeling paradigms applied to the analysis of European air quality
The paper presents an overview of various modeling paradigms applicable to the analysis of complex decision-making problems that can be represented by large non-linear models. Such paradigms are illustrated by their application to the analysis of a model that helps to identify and analyze various cost-effective policy options aimed at improving European air quality. Also presented is the application of this model to support intergovernmental negotiations.
non-linear models decision support systems model management preprocessing robustness multiple-criterion optimization criterion functions object-oriented programming air pollution