Abstract: A digital defuzzification processor implemented as integrated circuits (ICs). The defuzzification IC processor includes an input port for receiving a plurality of input values and a corresponding set of specific weight and an effective area for each of the input values. The defuzzification IC processor further includes a multiplier for multiplying each of the input values to the corresponding specific weight for generating a plurality of partial-input-weighted-specific-weight, the multiplier further multiplying the each of the input values to the corresponding effective area for generating a plurality of partial-input-weighted-effective-area. The defuzzification IC processor further includes an accumulator for adding each of the plurality of partial input-weighted-specific-weight for generating a summed-input-weighted specific-weight, the accumulator further adding each of the plurality of partial-input-weighted-effective-area for generating a summed-input weighted-effective-area.

Abstract: A digital fuzzy logic processor for generating output data representing a degree of membership function, specifically, a complement-generating circuit that generates complement data for outputting to a one's-complement circuit to determine a degree of membership output. The digital fuzzy logic processor includes an input port, a memory unit for storing a plurality of data and a prescaled base-distance-slope product table, a subtracting and multiplexer circuit to generate relative location signals and relative distance data, and a control unit that controls the processor. The logic processor further includes a pre-scale shifter to generate prescaled relative distance data, an address generator to generate a table address to retrieve a base-distance-slope product from the prescaled base-distance-slope product table, and a post scalar shifter to shift prescaled base-distance-slope products to generate complement data.