Publicação: Hybrid visual-driven decision support system in video monitor manufacturing
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Resumo
An intelligent system that emulates human decision behaviour based on visual data acquisition is proposed. The approach is useful in applications where images are used to supply information to specialists who will choose suitable actions. An artificial neural classifier aids a fuzzy decision support system to deal with uncertainty and imprecision present in available information. Advantages of both techniques are exploited complementarily. As an example, this method was applied in automatic focus checking and adjustment in video monitor manufacturing. Copyright © 2005 IFAC.
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Classification, Decision support systems, Fuzzy inference, Neural networks, Visual pattern recognition, Automatic focus, Decision supports, Fuzzy decision support system, Human decisions, Neural classifiers, Video monitors, Automation, Behavioral research, Control, Decision making, Intelligent systems, Manufacture, Pattern recognition
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Inglês
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IFAC Proceedings Volumes (IFAC-PapersOnline), v. 16, p. 372-377.
