Multiple attribute utility function decision-making with decision variables operator for stable state optimization

Two factors, the weight and the attribute values, are considered on method for the classical multiple attribute decision-making in this paper. The wide degree of change of decision variable affects the stability of the control system, for example, the set value of control variable. A multiple attribute decision-making method with decision variables operator is proposed based on utility function for stable state optimization in the process control system. Thus, the weight, attribute values and the change of decision variable are all considered such that the state optimization system is stable. The simulation results show that the improved method is effective.