A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming

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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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Bibliographic Details
Main Authors:	Kok, Chin Chai, Chian, Haur Jong, Kai, Meng Tay, Chee, Peng Lim
Format:	Article
Language:	English
Published:	Elsevier Ltd 2016
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://ir.unimas.my/id/eprint/13928/ http://ir.unimas.my/id/eprint/13928/7/A%20perceptual%20computing%20%28abstract%29.pdf

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