Many practical control problems for the complex, uncertain or large-scale p
lants, need to simultaneously achieve a number of objectives, which may con
flict or compete with each other. If the conventional optimization methods
are applied to solve these control problems, the solution process may be ti
me-consuming and the resulting solution would often lose its original meani
ng of optimality. Nevertheless, the human operators usually perform satisfa
ctory results based on their qualitative and heuristic knowledge. In this p
aper, we investigate the control strategies of the human operators, and pro
pose a fuzzy model-based multi-objective satisfactory controller. We also a
pply it to the automatic train operation (ATO) system for the magnetically
levitated vehicles (MAGLEV).