Fuzzy Adaptive Resonance Theory Failure Mode Effect Analysis Non-Healthcare Setting for Infectious Disease : Review

Kasumawati, Lias and Kuryati, Kipli and Chai Chee Shee, Chai and Hazrul, Mohamad Basri Fuzzy Adaptive Resonance Theory Failure Mode Effect Analysis Non-Healthcare Setting for Infectious Disease : Review. Indonesian Journal of Electrical Engineering and Computer Science. pp. 1-11. ISSN 2502-4752

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Abstract

Fuzzy Adaptive Resonance Theory (ART) is an ART network that is developed as one of the alternative methods to evaluate risk priority number (RPN) in failure mode and effect analysis (FMEA). Not only is FMEA are common technique as an analysis tool in industrials sectors, but also, especially during the global emergency COVID-19 pandemic hits, FMEA is used in prevention and mitigation measures. Many alternative methods have been proposed. However, not many investigations use clustering models such as Fuzzy ART in FMEA. This paper aims to provide a comprehensive review and then propose a model for systematic risk analysis which implement the Fuzzy ART model, named clustering- Transmission Causes and Effects Analysis (c-TCEA), for the prevention and mitigation of infectious diseases.

Item Type: Article
Additional Information: COVID-19
Uncontrolled Keywords: Fuzzy ART, FMEA, Clustering, Risk Analysis, COVID-19.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Faculties, Institutes, Centres > Faculty of Engineering
Depositing User: Lias
Date Deposited: 27 Nov 2023 06:54
Last Modified: 27 Nov 2023 06:54
URI: http://ir.unimas.my/id/eprint/43448

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