Mixed method of coordination for large-scale industrial processes with fuzzy parameters
具有模糊参数的大工业过程的混合协调法

The model coefficients of large-scale industrial processes are regarded as fuzzy numbers due to the model-reality difference. A new mixed method of coordination based on fuzzy model is proposed in this paper to solve the problem of model-reality difference. The mixed method and the mixed method with global feedback are studied in this paper. Simulation results show that the methods proposed in this paper provide a considerably less number of iterations and a better objective function than that provided by the methods based on crisp model.