Tsukamoto method
- First introduced by Tsukamoto.
- Each consequence (conclusion) in each IF-THEN rule must be represented by a fuzzy set with a monotone membership function.
- As a result, the output of the inference results from each rule is given explicitly (crisp) based on the a-predicate, then calculating the weighted average.
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