For a class of complex production processes, moving pattern-based forecasting model is proposed. For
characterizing pattern class variable quantitatively, the interval number is used as its metric form. For modeling the movement
of pattern class variable in pattern moving space, the previous proposed interval T-S fuzzy model is adapted and applied to
the forecasting model. Finally, experimental results show the effectiveness of the proposed approach.