Abstract
The article is devoted to assessing the efficiency of using triangular and trapezoidal membership functions in fuzzy systems. Two metrics are proposed: execution time of the fuzzy inference algorithm, dispersion of the output value. The results of experiments on testing three fuzzy systems of different architecture complexity are presented: determining the size of a tip for a waiter; forecasting changes in energy consumption in the production system; driver assistance on the roads.
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