Abstract
Rule-driven processing is a proven way of achieving high-speed in fuzzy processing. Up to now, rule- driven architectures where designed to work with mini- mum or product as T-norm. Nevertheless, a Lukasiewicz T-norm is typically used with the compositional rule of inference in expert systems applications that are based on a fuzzy inference engine. This paper presents a rule-driven processing architecture for systems with a Lukasiewicz T-norm and partition of unity membership functions with an overlap factor of two.
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