Hybrid visual-driven decision support system in video monitor manufacturing

dc.contributorInstituto Tecnológico de Aeronáutica (ITA)
dc.contributorInstituto Nacional de Pesquisas Espaciais (INPE)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:21:43Z
dc.date.accessioned2022-10-05T17:59:20Z
dc.date.available2014-05-27T11:21:43Z
dc.date.available2022-10-05T17:59:20Z
dc.date.created2014-05-27T11:21:43Z
dc.date.issued2005-12-01
dc.identifierIFAC Proceedings Volumes (IFAC-PapersOnline), v. 16, p. 372-377.
dc.identifier1474-6670
dc.identifierhttp://hdl.handle.net/11449/68595
dc.identifier10.3182/20050703-6-CZ-1902.01140
dc.identifier2-s2.0-79960726824
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3918126
dc.description.abstractAn 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.
dc.languageeng
dc.relationIFAC Proceedings Volumes (IFAC-PapersOnline)
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectClassification
dc.subjectDecision support systems
dc.subjectFuzzy inference
dc.subjectNeural networks
dc.subjectVisual pattern recognition
dc.subjectAutomatic focus
dc.subjectDecision supports
dc.subjectFuzzy decision support system
dc.subjectHuman decisions
dc.subjectNeural classifiers
dc.subjectVideo monitors
dc.subjectAutomation
dc.subjectBehavioral research
dc.subjectControl
dc.subjectDecision making
dc.subjectIntelligent systems
dc.subjectManufacture
dc.subjectPattern recognition
dc.titleHybrid visual-driven decision support system in video monitor manufacturing
dc.typeTrabalho apresentado em evento


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