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
Pages :
11
From page :
49
To page :
59
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
Serial Year :
2020
Record number :
2703315
Link To Document :
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