1. In a fuzzy logic system where each input is fuzzified to obtain a number of graded input labels, the graded input labels processed according to a number of fuzzy inference rules to generate a given number of output labels, each of the fuzzy inference rules corresponding to an output label, the fuzzy inference rules determining first which graded input label processed by each fuzzy inference rule has a minimum value, and second, determining which of the graded input labels having the minimum value for each of the respective output labels represents a maximum value, a method for determining the minimum and maximum values of the graded input labels for each of the output labels comprising the steps of: arranging the fuzzy inference rules into a group corresponding to their respective output labels; ordering all of the graded input labels in a numerical order according to a numerical value of the grade of each graded input label such that all of the graded input labels utilized within any particular group of fuzzy inference rules for each of the output labels are ordered in numerical order according to grade; detecting as the minimum value for each fuzzy inference rule the graded input label within each of the fuzzy inference rules that is closest in rank to zero in the numerical order; selecting from the graded input labels having the minimum values for each of the output labels the maximum value for a given output label wherein the graded input label that is furthest away from zero in the numerical order; and outputting the grade of the graded input label having the maximum value for each of the output labels as a final value for the output label.