Studies in Computational Intelligence1288- Mathematics of Uncertainty Applied to Global Issues

Mathematics of Uncertainty Applied to Global Issues explores how mathematical tools can illuminate some of the most pressing challenges facing our world today. Authored by John N. Mordeson, Sunil Mathew, and Davender S. Malik, this book bridges the gap between abstract mathematical theory and real-world global concerns. Addressing critical issues such as sustainability, the mistreatment of women, nuclear power, smart cities, and digitalization, the book demonstrates how fuzzy set theory and fuzzy similarity measures can be used to analyse complex, uncertain, and interconnected systems. By examining rankings of countries, states, and cities across diverse indicators—including environmental performance, social justice, human development, and technological advancement—the authors reveal hidden relationships and patterns among global challenges. The text develops foundational concepts in fuzzy mathematics and extends them to innovative methodologies for comparing multiple rankings. Through applications ranging from refugee crises and biodiversity targets to urban sustainability and artificial intelligence, the book provides a unique quantitative perspective on global development issues. Combining rigorous theory with meaningful applications, this volume serves as a valuable resource for advanced undergraduate and graduate students, researchers, and educators in mathematics, data science, and the social sciences. It offers not only analytical tools but also insights into how mathematics can contribute to understanding and addressing the complexities of an uncertain world.