We use mathematics of uncertainty to analyze the relationship between the sustainable development goals and human trafficking. 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 achievement of the sustainable development goals that are pertinent to trafficking in humans. This method includes linear equations involving ten of the SDGs. SGD 5 (Gender 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 trafficking. We discuss how our methods can be placed in a setting of fuzzy hyperstructures.
Mordeson, J., Mathew, S. (2020). Sustainable goals in combating human trafficking: Analysis by mathematics of uncertainty. Journal of Algebraic Hyperstructures and Logical Algebras, 1(1), 49-59. doi: 10.29252/hatef.jahla.1.1.4
MLA
J. N. Mordeson; S. Mathew. "Sustainable goals in combating human trafficking: Analysis by mathematics of uncertainty". Journal of Algebraic Hyperstructures and Logical Algebras, 1, 1, 2020, 49-59. doi: 10.29252/hatef.jahla.1.1.4
HARVARD
Mordeson, J., Mathew, S. (2020). 'Sustainable goals in combating human trafficking: Analysis by mathematics of uncertainty', Journal of Algebraic Hyperstructures and Logical Algebras, 1(1), pp. 49-59. doi: 10.29252/hatef.jahla.1.1.4
VANCOUVER
Mordeson, J., Mathew, S. Sustainable goals in combating human trafficking: Analysis by mathematics of uncertainty. Journal of Algebraic Hyperstructures and Logical Algebras, 2020; 1(1): 49-59. doi: 10.29252/hatef.jahla.1.1.4
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