Universiti Teknologi Malaysia Institutional Repository

A fuzzy graph approach analysis for COVID-19 outbreak

Hassan, Nurfarhana and Ahmad, Tahir and Ashaari, Azmirul and Awang, Siti Rahmah and Mamat, Siti Salwana and Wan Mohamad, Wan Munirah and Ahmad Fuad, Amirul Aizad (2021) A fuzzy graph approach analysis for COVID-19 outbreak. Results in Physics, 25 . p. 104267. ISSN 2211-3797

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Official URL: http://dx.doi.org/10.1016/j.rinp.2021.104267

Abstract

Complex systems require rigorous analysis using effective method, in order to handle and interpret their information. Spectrum produced from Fourier transform infrared (FTIR) instrument is an example of a complex system, due to their overlapped bands and interactions within the spectrum. Thus, chemometrics techniques are required to further analyze the data, in particular, chemometrics fuzzy autocatalytic set (c-FACS). The c-FACS is initially used to analyze the FTIR spectra of gelatins. However, in this study, the c-FACS is generalized and implemented for analysis of Coronavirus disease 2019 (Covid-19), particularly, the pandemic outbreak in Malaysia. The daily Covid-19 cases in states in Malaysia are modeled and analyzed using c-FACS, to observe the trend and severity of the disease in Malaysia. As a result, the classification of severity of zones in Malaysia are identified. The obtained results offer descriptive insight for strategizing purposes in combating the Covid-19 outbreak in Malaysia.

Item Type:Article
Uncontrolled Keywords:COVID-19, Fuzzy autocatalytic set
Subjects:Q Science > QA Mathematics
Divisions:Science
ID Code:95251
Deposited By: Widya Wahid
Deposited On:29 Apr 2022 22:25
Last Modified:29 Apr 2022 22:25

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