A fuzzy graph approach analysis for COVID-19 outbreak

Hassan, Nurfarhana; Ahmad, Tahir; Ashaari, Azmirul; Awang, Siti Rahmah; Mamat, Siti Salwana; Mohamad, Wan Munirah Wan; Fuad, Amirul Aizad Ahmad

doi:10.1016/j.rinp.2021.104267

Cited by 6 publications

(1 citation statement)

References 20 publications

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“…The new advanced method is called chemometrics fuzzy autocatalytic set (c-FACS). Since then, the c-FACS method has been established and utilized in other various applications involving food authentication 22 , pattern and classification analysis for COVID-19 outbreak in Malaysia 23 . Their results also coincide with the results of principal component analysis (PCA), and thus verified the accuracy and effectiveness of the c-FACS method.…”

Section: Methodsmentioning

confidence: 99%

Counterfeit fifty Ringgit Malaysian banknotes authentication using novel graph-based chemometrics method

Hassan

Ahmad

Mahat

et al. 2022

Sci Rep

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Counterfeiting, in particular, the forgery of banknotes is a serious crime problem and has become a great challenge to the global economies. The forensic science experts have been utilizing chemical technique such as infrared spectroscopy to analyze genuine and counterfeit banknotes. Nevertheless, chemometrics techniques are required to further discriminate the banknotes. In this paper, an advanced fuzzy graph chemometrics method is used to discriminate genuine and counterfeit fifty Ringgit Malaysian (RM50) banknotes. The development of the technique, namely chemometrics fuzzy autocatalytic set (c-FACS) is presented in this paper, together with the results and its comparison to principal component analysis (PCA) method. The results from the c-FACS analysis showed distinct patterns and features of the counterfeit banknotes in the c-FACS plot. Furthermore, the new method is faster than PCA in authentication analysis of counterfeit banknotes. Hence, the c-FACS provides better performance in terms of computing time as compared to PCA, and has the potential in assisting the investigation involving counterfeit banknotes.

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Section: Methodsmentioning

confidence: 99%

Counterfeit fifty Ringgit Malaysian banknotes authentication using novel graph-based chemometrics method

Hassan

Ahmad

Mahat

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

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Energy based bipolar intuitionistic fuzzy digraph decision-making system in selecting COVID-19 vaccines

Nithyanandham,

Augustin,

Micheal

et al. 2023

Applied Soft Computing

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Forecasting of coronavirus active cases by utilizing logistic growth model and fuzzy time series techniques

Mahanty,

Patro,

Rathor

et al. 2024

Sci Rep

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Coronavirus has long been considered a global epidemic. It caused the deaths of nearly 7.01 million individuals and caused an economic downturn. The number of verified coronavirus cases is increasing daily, putting the whole human race at danger and putting strain on medical experts to eradicate the disease as rapidly as possible. As a consequence, it is vital to predict the upcoming coronavirus positive patients in order to plan actions in the future. Furthermore, it has been discovered all across the globe that asymptomatic coronavirus patients play a significant part in the disease’s transmission. This prompted us to incorporate similar examples in order to accurately forecast trends. A typical strategy for analysing the rate of pandemic infection is to use time-series forecasting technique. This would assist us in developing better decision support systems. To anticipate COVID-19 active cases for a few countries, we recommended a hybrid model utilizing a fuzzy time series (FTS) model mixed with a non-linear growth model. The coronavirus positive case outbreak has been evaluated for Italy, Brazil, India, Germany, Pakistan, and Myanmar through June 5, 2020 in phase-1, and January 15, 2022 in phase-2, and forecasts active cases for the next 26 and 14 days respectively. The proposed framework fitting effect outperforms individual logistic growth and the fuzzy time series techniques, with R-scores of 0.9992 in phase-1 and 0.9784 in phase-2. The proposed model provided in this article may be utilised to comprehend a country’s epidemic pattern and assist the government in developing better effective interventions.

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A fuzzy graph approach analysis for COVID-19 outbreak

Cited by 6 publications

References 20 publications

Counterfeit fifty Ringgit Malaysian banknotes authentication using novel graph-based chemometrics method

Counterfeit fifty Ringgit Malaysian banknotes authentication using novel graph-based chemometrics method

Energy based bipolar intuitionistic fuzzy digraph decision-making system in selecting COVID-19 vaccines

Forecasting of coronavirus active cases by utilizing logistic growth model and fuzzy time series techniques

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