非单点模糊逻辑系统及仿真研究

Nonsingle Fuzzy Logic System and Its Simulation Research

对一类采用高斯型模糊产生器的模糊逻辑系统进行了研究，该系统有助于克服实际数据信息中存在的干扰；通过一个定理表明其对致密集上连续函数的一致逼近能力；仿真结果说明本文提出的模糊逻辑系统对含噪声的数据信息处理有优势。

A class of fuzzy logic system which is fuzzified by Gaussian fuzzifier is researched in the paper. The class of fuzzy system can be helpful to overcome interference and uncertainty in real data information. Then, the uniform approximation of the fuzzy system to continuous function on compact set is discussed. Simulation results show that the fuzzy system has the advantages of dealing with data information which contains noise and uncertainty.