Performance evaluation of fuzzy operators for FPGA technology

This article presents the study of some adders and multipliers using conventional and nonconventional arithmetic, in order to carry out the implementation of fuzzy operators in the inference stage of a fuzzy logic processor. Then, an online arithmetic architecture and a parallel architecture are proposed for the fuzzy operators of an inference engine, based on the arithmetic operators with better performance over field programmable gate array (FPGA) technology. Finally, the implementation of the fuzzy operators and its performance evaluation in terms of operation frequency and occupied area over FPGA technology are carried out.