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Advisor(s)
Abstract(s)
Scientific studies confirm the existence of a crisis caused by climate change, in which global
causes produce local effects. Despite climate agreements, greenhouse gas emissions continue to fall
short of targets to limit global warming. There is still a need for comparable data for Sustainable
Development Goal (SDG) 13—Climate Action. The motivation of the research is to provide data for
decision-making and to propose solutions to address the climate crisis. The article aims to propose
a Fuzzy Logic algorithm to evaluate the SDG13 indicators and to deepen the discussion on climate
change. The research is applied explanatory with a combined approach (quantitative-qualitative)
through modeling, simulation, and case studies. As a result, the OWA operator ranks 10 IberoAmerican countries to SDG13, indicating Colombia, Peru, and Cuba in the first positions. The main
contributions are the reduction of identified knowledge gaps and proposals for action for policy and
decision-makers. A limitation of this study would be the number of participating countries. The
authors indicate future lines of research.
Description
Keywords
Climate change SDG13 Fuzzy logic OWA operator Ibero-American countries
Citation
Mathematics 11 (2): 313 (2023)
Publisher
MDPI