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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Mohd. Zulhilmi Firdaus Rosli
Faculty of Engineering, Universiti Malaysia Sarawak (UNIMAS)

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Fuzzy adaptive resonance theory failure mode effect analysis non-healthcare setting for infectious disease: review Aysha Samjun; Kasumawati Lias; Mohd. Zulhilmi Firdaus Rosli; Hazrul Mohamed Basri; Chai Chee Shee; Kuryati Kipli
Indonesian Journal of Electrical Engineering and Computer Science Vol 33, No 1: January 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v33.i1.pp236-247

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 industrial 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.
Co-Authors Aysha Samjun Chai Chee Shee Hazrul Mohamed Basri Kasumawati Lias Kuryati Kipli