Vulnerability and Government Response to Human Trafficking: Vague Fuzzy Incidence Graphs

John N. Mordeson, Sunil Mathew () and R. A. Borzooei ()
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John N. Mordeson: Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA
Sunil Mathew: Department of Mathematics, National Institute of Technology, Calicut, Kerala 673601, India
R. A. Borzooei: Department of Mathematics, Shahid Beheshti University, Tehran, Iran

New Mathematics and Natural Computation (NMNC), 2018, vol. 14, issue 02, 203-219

Abstract: We introduce the notion of a vague incidence graph and its eccentricity. We apply the results to problems involving human trafficking and illegal immigration. We are particularly interested in the roll played by countries’ vulnerability and their government’s response to human trafficking. We show of the leading illegal immigration routes through Mexico to the United States that Somalia has the highest eccentricity. We also provide measures on how much a region needs to reduce flow or increase government response to be modelled by a fuzzy incidence graph. It turns out that the Commonwealth of Independent States has the largest measure for both vulnerability and government response than any other region.

Keywords: Vague incidence graphs; human trafficking; vulnerability; government response; eccentricity; illegal immigration (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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DOI: 10.1142/S1793005718500138

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