Decision Making Problem Under Uncertainties Relating to Air Quality Management

Abstract

Air pollution models are still associated with large uncertainties. The accuracy of air pollution models depends on uncertainty in the input parameter values and errors in model formulation. Meteorological parameters are influenced by random factors. Emission parameters are usually estimated rather roughly. These uncertainties have to be taken into account when we solve the decision making problems in air quality management systems. For this purpose the methods of optimization under uncertainty and fuzzy decision-making models are used. The model of multi-objective optimization is developed for fuzzy decision making in information systems for air quality management. © Springer Science+Business Media Dordrecht 2014.