How to Control If Even Experts Are Not Sure: Robust Fuzzy Control
نویسنده
چکیده
In real life, the degrees of certainty that correspond to one of the same expert can diier drastically, and fuzzy control algoirthms translate these diierent degrees of uncertainty into diierent control strategies. In such situation, it is reasonable to choose a fuzzy control methodology that is the least vulnerable to this kind of uncertainty. We show that this \robustness" demand leads to min and max for &? and _?operations, to 1?x for negation, and to centroid as a defuzziication procedure.
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