Fuzzy Optimization in Decision Making of Air Quality Management

Abstract

This study presents an optimization method in fuzzy decision making of air quality management. The optimization method presented in this chapter gives the mathematical representation to find the equilibrium point. How to obtain and express these optimal data depends on the fuzzy optimization techniques. The methodology and algorithm of fuzzy decision making process by interactive multi-objective approach and iterative optimization method are described, with the application in the process of air quality management. This paper also provides the interactive multi-objective model and iterative calculation method for the application of air quality management. First, the comparison of model output and field monitoring results was discussed, and then the experimental outcome of interactive fuzzy optimum model was presented. Secondly, the comparison of optimum decision from different decision makers was considered, and the experimental outcome of iterative fuzzy optimum model was presented. The combined approach of interactive and iterative method for fuzzy optimization model makes the decision of air quality management more accurate and pragmatic.