Fuzzy Two-Factor Analysis of COVID-19 Cases in Europe

摘要

In this paper we apply an intuitionistic fuzzy two-factor ANOVA (2-D IFANOVA), based on the concepts of intuitionistic fuzzy sets (IFSs) and index matrices (IMs), over a unique dataset of daily COVID-19 cases up to 24 June 2020 to explore how the number of COVID-19 cases depends on the "density" and "climate zone" factors for the continent of Europe. In the source data, some information may be missing, unclear or imprecise. To deal with the uncertainty in the data, we apply Intuitionistic fuzzy logic. We also present a new software utility, which performs 2-D IFANOVA by using an implementation of Index matrices. Finally, a comparative analysis of the results obtained by the classical ANOVA and IFANOVA is performed.