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Open AccessArticle

Fuzzy Logic Applied to Sustainable Development Goals and Human Trafficking

1
Department of Mathematics, Creighton University, Omaha, NE 68178, USA
2
Department of Mathematics, National Institute of Technology, Calicut 673601, India
*
Author to whom correspondence should be addressed.
Symmetry 2020, 12(1), 87; https://doi.org/10.3390/sym12010087
Received: 7 December 2019 / Revised: 26 December 2019 / Accepted: 30 December 2019 / Published: 2 January 2020
In 2015, the leaders of all the UN’s Member States agreed to the 2030 Agenda for Sustainable Development. The 17 Sustainable Development Goals and their 169 associated targets address five areas of critical importance: people, planet, prosperity, peace, and partnership. The purpose of this paper is to take the metrics and data provided and transform them into a fuzzy logic setting. This allows for the analysis of the results in SDG Index and Dashboards Report 2019 by using the techniques of fuzzy logic. Many of these 17 Sustainable Development Goals are related to the terrible crime of human trafficking. We also examine these goals in a fuzzy logic setting. View Full-Text
Keywords: Sustainable Development Goals; human trafficking; fuzzy logic; Organization for Economic Cooperation and Development Sustainable Development Goals; human trafficking; fuzzy logic; Organization for Economic Cooperation and Development
MDPI and ACS Style

Mordeson, J.N.; Mathew, S. Fuzzy Logic Applied to Sustainable Development Goals and Human Trafficking. Symmetry 2020, 12, 87.

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