In this paper, we propose a method of approximate reasoning for fuzzy control based on α-level-set decomposition of fuzzy sets by quantized α. This method can be easily implemented with analog hardware. We also investigated 4 defuzzifying methods, which are suitable for this configuration. The influence of quantization levels of α on output from fuzzy inference engine is investigated. It is concluded that 4 quantization levels give sufficient result for fuzzy control performance of DC servo system. The hardware implementation of this reasoning operation method and of the defuzzification by gravity center method, which is directly converted to PWM actuating signal, is also presented.
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