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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier Ltd
2016
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Subjects: | |
Online Access: | http://ir.unimas.my/13928/ http://ir.unimas.my/13928/ http://ir.unimas.my/13928/ http://ir.unimas.my/13928/7/A%20perceptual%20computing%20%28abstract%29.pdf |