A fuzzy graph approach analysis for COVID-19 outbreak

• Main Authors: Hassan, Nurfarhana, Ahmad, Tahir, Ashaari, Azmirul, Awang, Siti Rahmah, Mamat, Siti Salwana, Wan Mohamad, Wan Munirah, Ahmad Fuad, Amirul Aizad
• Format: Article
• Published: Elsevier B.V. 2021
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/95251/; http://dx.doi.org/10.1016/j.rinp.2021.104267
• Institution: Universiti Teknologi Malaysia

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.