Barcellos de Paula, LucianoGil Lafuente, Anna MariaCastro-Rezende, Aline2023-02-282024-02-012023-02-010196-9722https://hdl.handle.net/2445/194314Intense and frequent changes increase uncertainty and complexity in decision-making. The COVID-19 pandemic exacerbates this situation. Therefore, the decision-maker seeks to reduce risks and meet these challenges. The manuscript aims to identify cause-effect relationships between variables affecting countries and changes caused by the COVID-19 pandemic and propose an algorithm to facilitate decision-making by identifying forgotten effects. The authors use thematic analysis to synthesize the semi-systematic literature review findings. The applied research uses a quantitative approach through modeling and simulation (...)27 p.application/pdfeng(c) Taylor & Francis Group, 2023Presa de decisions (Estadística)Mètodes de simulacióLògica borrosaCOVID-19Statistical decisionSimulation methodsFuzzy logicCOVID-19info:eu-repo/semantics/article7302332023-02-28info:eu-repo/semantics/openAccess