A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming
A failure mode and effect analysis (FMEA) procedure that incorporates a novel Perceptual Computing (Per-C)–based Risk Priority Number (RPN) model is proposed in this paper. The proposed model considers linguistic uncertainties and vagueness of words, because it is more natural to use words, instead...
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Main Authors: | , , , |
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格式: | E-Article |
语言: | English |
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Elsevier Ltd
2016
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在线阅读: | http://ir.unimas.my/id/eprint/13928/7/A%20perceptual%20computing%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/13928/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988009688&partnerID=40&md5=c1a965e085e436f0b312ff42dfd21625 |
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