模糊逻辑系统与支持向量机的关系探索

Study of Relationship Between Fuzzy Logic System and Support Vector Machine

研究了模糊逻辑系统和支持向量机的关系,指出模糊逻辑系统是以峰点作为支持向量,以隶属函数作为基函数的推理系统,模糊逻辑系统是一种特殊的支持向量机。文中提出了一种基于模糊规则的支持向量机控制模型,仿真结果表明了这种模型的可行性和有效性。

The relationship between fuzzy logic system and support vector machine(SVM) is analyzed. It points out that fuzzy logic system is a special support vector machine with special support vector and basic function. An SVM control model based on fuzzy rules is proposed. Simulation result indicates that the model is feasible and effective.