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 |
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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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