通过对现有生产调度模糊模型的分析，针对间歇生产过程，提出了一种新颖的参数模糊的通用模糊规划建模方法，模糊模型采用2种基于普通遗传算法的模糊算法，即模糊模拟和SFA算法。该方法中，参数隶属函数选取灵活，采用合适的模糊表示方式。最后通过实例验证了该模糊建模方法是一种有效的方法。

By analyzing certain fuzzy models for production scheduling, the author proposes a general novel fuzzification method based on fuzzy programming for batching production processes and offers a modeling method with fuzzy coefficients. Two fuzzy algorithms based on genetic algorithm, i. e. , fuzzy simulation and SFA algorithm, are adopted to solve the fuzzy model. The selection of membership function is flexible, and a proper expression of fuzziness is adopted. Finally, a numerical example demonstrates that the modeling method is valid.