Hardware Implementation of Fuzzy Processors: A Review

نویسنده

  • Neelofer Afzal
چکیده

A review paper on the various VLSI architectures of fuzzy logic based processors and controllers is presented over here. The focus of this paper on the study of low power VLSI implementation of fuzzy processors to result in reduced silicon area, high operating speed and the adaptability to various application domains. The paper reviews the design and implementation of different components of a fuzzy logic processor, like fuzzifiers, defuzzifiers, inference engine and rule base systems. It is been found that there is a huge scope for further improvement of these components of fuzzy processor in terms of power, speed, area and complexity in these fuzzy processors. It has been found that the researchers generally focus on the design and development of inference engine and defuzzification units in a fuzzy processor due to their complex nature. The further optimization in these blocks can result in a in a significant improvement in the overall performance of the fuzzy processors.

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تاریخ انتشار 2017