Mathematics of Uncertainty for Coping with World Challenges : Climate Change, World Hunger, Modern Slavery, Coronavirus, Human Trafficking /

This book ranks countries with respect to their achievement of the Sustainable Development Goals and their vulnerability to climate change. Human livelihoods, stable economies, health, and high quality of life all depend on a stable climate and earth system, and a diversity of species and ecosystems...

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Bibliographic Details
Main Authors: Mordeson, John N (Author), Mathew, Sunil (Author)
Corporate Author: SpringerLink (Online service)
Format: Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021
Edition:1st ed. 2021
Series:Studies in Systems, Decision and Control, 353
Subjects:
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505 0 |a Preliminaries -- Sustainable Development Goals -- Global Climate Risk -- Human Trafficking and Modern Slavery -- Modern Slavery, Environmental Destruction and Climate Change -- Modern Slavery -- Global Starvation and Coronavirus -- Fuzzy Graphs and Human Trafficking -- Connectivity and Human Trafficking 
520 |a This book ranks countries with respect to their achievement of the Sustainable Development Goals and their vulnerability to climate change. Human livelihoods, stable economies, health, and high quality of life all depend on a stable climate and earth system, and a diversity of species and ecosystems. Climate change significantly impacts human trafficking, modern slavery, and global hunger. This book examines these global problems using techniques from mathematics of uncertainty. Since accurate data concerning human trafficking and modern slavery is impossible to obtain, mathematics of uncertainty is an ideal discipline to study these problems. The book also considers the interconnection between climate change, world hunger, human trafficking, modern slavery, and the coronavirus. Connectivity properties of fuzzy graphs are used to examine trafficking flow between regions in the world. The book is an excellent reference source for advanced undergraduate and graduate students in mathematics and the social sciences as well as for researchers and teachers 
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