Ruspini’s method

Ruspini’s method is a technique used to combine multiple fuzzy rules to make decisions or infer conclusions. It assigns a degree of confidence (or membership) to each rule's premise based on input data. These degrees are then used to weigh the consequences suggested by each rule. The method aggregates all the weighted conclusions to produce a single, combined output. Essentially, it smoothly integrates multiple fuzzy conditions, allowing for nuanced decision-making when inputs are imprecise or uncertain. This approach is particularly useful in systems where multiple, overlapping criteria influence the final outcome.