Intuitionistic fuzzy sets and their variants
Hybrid intelligent parameter tuning approach for COVID-19 time series modeling and prediction

Imo Jeremiah Eyo; Olufemi Sunday Adeoye; Udoinyang Godwin Inyang; Ini John Umoeka

Volume 3, Issue 1 , March 2022, , Pages 64-80

http://dx.doi.org/10.22105/jfea.2021.309332.1164

Abstract
  A novel hybrid intelligent approach for tuning the parameters of Interval Type-2 Intuitionistic Fuzzy Logic System (IT2IFLS) is introduced for the modeling and prediction of coronavirus disease 2019 (COVID-19) time series. COVID-19 is known to be a virus caused by Severe Acute Respiratory Syndrome Coronavirus ...  Read More

Intuitionistic fuzzy sets and their variants
On the prediction of Covid-19 time series: an intuitionistic fuzzy logic approach

Imo Eyo; Jeremiah Eyoh; Uduak Umoh

Volume 2, Issue 2 , June 2021, , Pages 171-190

http://dx.doi.org/10.22105/jfea.2021.263890.1070

Abstract
  This paper presents a time series analysis of a novel coronavirus, COVID-19, discovered in China in December 2019 using intuitionistic fuzzy logic system with neural network learning capability. Fuzzy logic systems are known to be universal approximation tools that can estimate a nonlinear function as ...  Read More