利用支持向量机对T-S型模糊系统建模的方法，结合BP算法对参数进行优化，从一定程度上解决模糊系统建模所存在的模型结构复杂、维数灾、泛化能力不强和实时性差等问题。-this paper analyzed the approach that applied support vector machines to create novel model in the　T-S fuzzy system, combined with BP algorithm which could optimize it, which, at some extent, eliminated the limitation during that process such as complexity of model construction, dimensionality curse, generalization ability poor and inaccurate immediateness.