In order to incorporate fuzzy goals and constraints in model predictive control, this control technique have recently been integrated with fuzzy decision making. The goals and the constraints of the control problem are combined by using a decision function from the theory of fuzzy sets. This technique have been studied for single-input single-output processes. This paper extends this study for multivariable processes. The simulation of a gantry crane system is used as case study. The results show clearly the advantage of using fuzzy predictive control in multivariable systems.