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DETECTOR: A knowledge-based system for injection molding diagnostics
Authors:Ioannis O Pandelidis  Jih-Forg Kao
Affiliation:(1) Department of Mechanical Engineering, University of Maryland College Park, 20742 College Park, MD
Abstract:A knowledge-based system (KBS) for diagnosis of multiple defects in injection molding is presented. The general scheme for knowledge representation based on fuzzy set theory has been shown useful in representing inexact and incomplete information for developing the KBS. An optimality criterion is created for selecting a simple and lsquobestrsquo cover to explain the given problem. An efficient search algorithm for finding such cover is also discussed.
Keywords:Injection molding  expert system  knowledge representation  fuzzy set  maximum priority cover
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