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A method of structured modeling for intergovernmental negotiations for improving European air quality is presented. The model integrates object-oriented programming, simulation methods, multiple-criteria decision-making methods and database management systems.

The application of the higher order primal-dual method (HOPDM) to real-life linear programming problems is evaluated. The study also considers the system's application for the Food and Agriculture Project (FAP) at the International Institute for Applied Systems Analysis, particularly for land use and development planning. It is shown that the HOPDM applies particularly well for FAP problems with greater size.

Issues relating to decision making problems are examined in detail, with a focus on non-linear models, and applications to intergovernmental negotiations dealing with air quality.

Issues relating to the development of decision support systems for problems such as the management of water quality and sustainable development are examined in detail.