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Fuzzy inference is the process of applying fuzzy logic rules to input data to determine appropriate output values. It involves combining fuzzy rules using fuzzy operators and aggregating membership functions to generate a crisp output value. Fuzzy inference allows fuzzy logic systems to make decisions based on imprecise or uncertain input data.