Title of article :
Sustainable goals in combating human trafficking: Analysis by mathematics of uncertainty
Author/Authors :
Mordeson, J.N Department of Mathematics - Creighton University Omaha, Nebraska 68178, USA , Mathew, S Department of Mathematics - National Institute of Technology, Calicut 673601, Kerala, India
Abstract :
We use mathematics of uncertainty to analyze the rela-
tionship between the sustainable development goals and
human tracking. This comes about naturally due to the
use of multiplication in the determination of metrics in
scoring categories by the Stakeholder Forum. We develop
a method for ranking the members of the Organization for
Economic Cooperation and Development in their achieve-
ment of the sustainable development goals that are per-
tinent to tracking in humans. This method includes
linear equations involving ten of the SDGs. SGD 5 (Gen-
der Equality), 8 (Decent Work and Economic Growth),
and 16 (Peace, Justice, and Strong Institutions) carry the
most weight in determining these rankings. We found
that Denmark, Finland, Iceland, and Sweden rank the
highest in achieving the sustainable development goals
pertinent to human tracking. We discuss how our meth-
ods can be placed in a setting of fuzzy hyperstructures.
Keywords :
analytical hierarchy process , Dempster-Shafer theory , mathematics of uncertainty , human trafficking , Sustainable development goals
Journal title :
Journal of Algebraic Hyperstructures and Logical Algebras