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

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: E-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/13928/7/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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Institution: Universiti Malaysia Sarawak
Language: English

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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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