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Sustainable development goalsanalysi...
~
Mathew, Sunil.
Sustainable development goalsanalysis by mathematics of uncertainty /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Sustainable development goalsby John N. Mordeson, Sunil Mathew.
Reminder of title:
analysis by mathematics of uncertainty /
Author:
Mordeson, John N.
other author:
Mathew, Sunil.
Published:
Cham :Springer International Publishing :2021.
Description:
xiii, 230 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Sustainable developmentMathematical models.
Online resource:
https://doi.org/10.1007/978-3-030-48523-8
ISBN:
9783030485238$q(electronic bk.)
Sustainable development goalsanalysis by mathematics of uncertainty /
Mordeson, John N.
Sustainable development goals
analysis by mathematics of uncertainty /[electronic resource] :by John N. Mordeson, Sunil Mathew. - Cham :Springer International Publishing :2021. - xiii, 230 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.2992198-4182 ;. - Studies in systems, decision and control ;v.3..
Preliminaries -- Sustainability: Analysis Using Mathematics of Uncertainty -- Sustainable Development Goals and Human Trafficking -- Sustainable Development Goals: Analysis by the Stakeholder Method -- Human Trafficking Rankings -- Similarity Measures of Rankings -- Climate Change and Modern Slavery -- Human Trafficking.
This book uses mathematics of uncertainty to examine how well countries are achieving the 17 Sustainable Development Goals (SDGs) set by the members of the United Nations, with a focus on climate change, human trafficking and modern slavery. Although this approach has never been used before, mathematics of uncertainty is well suited to exploring these topics due to the lack of accurate data available. The authors place several scientific studies in a mathematical setting to pave the way for future research on issues of sustainability, climate change, human trafficking and modern slavery to using a wide range of mathematical techniques. Moreover, the book ranks countries in terms of their achievement of not only the SDGs, but in particular those SDGs pertinent to climate change, human trafficking, and modern slavery, and highlights the deficiencies in the foster care system that lead to human trafficking. As such it is an excellent reference resource for advanced undergraduate and graduate students in mathematics and the social sciences, as well as for researchers and teachers.
ISBN: 9783030485238$q(electronic bk.)
Standard No.: 10.1007/978-3-030-48523-8doiSubjects--Topical Terms:
190743
Sustainable development
--Mathematical models.
LC Class. No.: HC79.E5 / M673 2020
Dewey Class. No.: 306.3
Sustainable development goalsanalysis by mathematics of uncertainty /
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Preliminaries -- Sustainability: Analysis Using Mathematics of Uncertainty -- Sustainable Development Goals and Human Trafficking -- Sustainable Development Goals: Analysis by the Stakeholder Method -- Human Trafficking Rankings -- Similarity Measures of Rankings -- Climate Change and Modern Slavery -- Human Trafficking.
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This book uses mathematics of uncertainty to examine how well countries are achieving the 17 Sustainable Development Goals (SDGs) set by the members of the United Nations, with a focus on climate change, human trafficking and modern slavery. Although this approach has never been used before, mathematics of uncertainty is well suited to exploring these topics due to the lack of accurate data available. The authors place several scientific studies in a mathematical setting to pave the way for future research on issues of sustainability, climate change, human trafficking and modern slavery to using a wide range of mathematical techniques. Moreover, the book ranks countries in terms of their achievement of not only the SDGs, but in particular those SDGs pertinent to climate change, human trafficking, and modern slavery, and highlights the deficiencies in the foster care system that lead to human trafficking. As such it is an excellent reference resource for advanced undergraduate and graduate students in mathematics and the social sciences, as well as for researchers and teachers.
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Intelligent Technologies and Robotics (SpringerNature-42732)
based on 0 review(s)
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EB HC79.E5 M834 2020 2021
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1 records • Pages 1 •
1
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https://doi.org/10.1007/978-3-030-48523-8
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