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10.1016/j.rinp.2021.104267 http://scihub22266oqcxt.onion/10.1016/j.rinp.2021.104267 33968605!8093164!33968605     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33968605&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Results+Phys 2021 ; 25 (ä): 104267 Nephropedia Template TP {{tp|p=33968605|t=2021. A fuzzy graph approach analysis for COVID-19 outbreak |pdf=|usr=}}{{33968605}} gab.com Text A fuzzy graph approach analysis for COVID-19 outbreak JO: Results Phys http://www.kidney.de/pget.php?&tw=1&pmid=33968605 #FOAvip 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. Twit Text FOAVip A fuzzy graph approach analysis for COVID-19 outbreak ????Results Phys http://www.kidney.de/pget.php?&tw=1&pmid=33968605 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33968605 #FOAvip English Wikipedia <ref>{{Cite pmid|33968605}}</ref> A fuzzy graph approach analysis for COVID-19 outbreak #MMPMID33968605 Hassan N; Ahmad T; Ashaari A; Awang SR; Mamat SS; Wan Mohamad WM; Ahmad Fuad AA Results Phys 2021[Jun]; 25 (ä): 104267 PMID33968605show ga 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. äA fuzzy graph approach analysis for COVID-19 outbreak (epmc).pdf DeepDyve Pubget Overpricing