A Sugeno fuzzy inference system (FIS) is a type of fuzzy inference system that uses a set of fuzzy rules to map input values to a single output, which is typically a weighted average of the outputs of the rules. This approach allows for both precise and imprecise reasoning, making it effective in handling uncertainty in data and decision-making processes. The Sugeno FIS is particularly useful in applications where the outputs are either numerical values or linear functions of the inputs.
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