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The problem in widespread application of fuzzy logic in various fields can be attributed to the low processing speed of inference engine of a fuzzy processor. The inference engine demands high latency for calculating the matching degree (MD) between the fuzzified input and the antecedent membership functions (MF). In this work, the problem of MD calculation has been addressed by proposing and implementing,...
The hardware design of a fuzzy processor is always intended to improve its inference performance for real time applications or to reduce the overall cost. The applications of fuzzy logic in various fields have always suffered from a major problem of low speed of operation. The calculation of matching degree always needs very high latency and limits the overall inference performance. In this paper,...
The widespread application of fuzzy logic in various fields has been hindered by the problem of low speed of operation of fuzzy processors. Both hardware and software approaches have been adopted to increase the speed of operation of the fuzzy processors in general and inference processing in particular. To improve the inference processing, the calculation of matching degree between the fuzzified...
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