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- W2129221729 abstract "The purpose of this paper is to provide a path for designing a tool for decision support to ensure the effectiveness of Quality Management System (QMS). For this, we propose a Fuzzy-Neural Networks (FNN) approach for improving the efficiency of such system. The aim of this approach is to classify the objectives for a real-world case study which presents a major problem for controlling the quality levels of its production lines. This approach provided a significant improvement when the testing data are various or complex." @default.
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- W2129221729 date "2012-03-01" @default.
- W2129221729 modified "2023-09-22" @default.
- W2129221729 title "Fuzzy-Neural Networks for a piloted Quality Management System" @default.
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- W2129221729 doi "https://doi.org/10.1109/melcon.2012.6196488" @default.
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