Abstract
Our fuzzy controller incorporates generic fuzzy set representations that improve information processing speed. It features antecedent labels represented by trapezoids and an algorithm that accelerates defuzzification by avoiding division. Our processor's performance depends on the centroid's location in the consequent domain: it does better when the centroid is closer to the domain's center, which is the case for many practical control applications. The journal issue contains a concise summary of this article. The complete article is linked to Micro's home page on the World Wide Web (http://www.computer.org/pubs/micro/micro.htm).
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