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本文首次提出了一种用于模式识别的新型多功能开关电流模糊处理器．该模糊处理器不仅可以求出最大综合隶属度相应的标准模式，而且可以按综合隶属度大小的顺序依次输出综合隶属度以及相应的标准模式，这将十分有利于系统性能的改善．该处理器可以进行绝对拒识和相对拒识的判断，大大提高了系统的可靠性．另外，为了提高该处理器的自适应能力，将综合函数中的权重设计为可调节的．ＰＳＰＩＣＥ模拟结果表明该处理器具有高精度、高分辨率等特点．在电路上，该处理器结构简单、灵活，模块化的设计使处理器的规模易于扩展．同开关电容技术相比，开关电流技术不需要双层多晶工艺，使得该处理器可以直接采用标准的数字ＣＭＯＳ工艺来实现．
This paper presents for the first time a new multi-function switch current fuzzy processor for pattern recognition. The fuzzy processor can not only find the corresponding standard model of the maximum comprehensive membership degree, but also output the comprehensive membership degree and the corresponding standard mode in turn according to the size of the integrated membership degree, which is very beneficial to the improvement of the system performance. The processor can determine the absolute rejection and relative rejection, greatly improving the reliability of the system. In addition, in order to improve the processor’s adaptability, the weight of the integrated function is designed to be adjustable. PSPICE simulation results show that the processor has high precision, high resolution and so on. On the circuit, the processor is simple in structure and flexible, and the modular design makes the size of the processor easy to expand. Compared with the switched capacitor technology, the switch current technology does not require double polycrystalline technology, making the processor can be used directly to achieve the standard digital CMOS process.