Verbal controlling

Thomas Feuring, James J. Buckley, Yoichi Hayashi · 2002

In this paper we describe a supervisory fuzzy controller. This system can be used to advise, or train, people who are in control of a complex plant. The advantage of the supervisory fuzzy controller is that it is designed to interact with the human operators through accepting verbal evaluations and producing verbal suggestions. In order to find the verbal suggestions we propose the use of a trained neural network for the task of inverse linguistic approximation.

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