Fuzzy Indices with Applications to Human Trafficking

被引：6

作者：

Mordeson, John N. ^{[1
]}

Schwab-McCoy, Aimee ^{[1
]}

Mathew, Sunil ^{[2
]}

Binu, M. ^{[2
]}

机构：

[1] Creighton Univ, Dept Math, Omaha, NE 68178 USA

[2] Natl Inst Technol, Dept Math, Calicut 673601, Kerala, India

来源：

NEW MATHEMATICS AND NATURAL COMPUTATION | 2019年 / 15卷 / 03期

关键词：

Fuzzy graphs; human trafficking; government response; vulnerability; trafficking routes;

D O I：

10.1142/S1793005719500236

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

We develop indices that can be used to measure the susceptibility of a route to human trafficking. The susceptibility is based on data providing a measure of a country's vulnerability for and its government response to human trafficking. The data was normalized and the Pearson correlation coefficient was used to determine the correlation between five types of government response and five types of vulnerability. It was determined that comparing government response values with vulnerability values yielded a negative correlation. Four routes through the Americas to the United States were examined. The indices of two of the measures agree on all four routes.

引用

页码：411 / 425

页数：15

共 5 条

[1]

Binu M., FUZZY SETS SYSTEMS

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Darabian, E. ;

Borzooei, R. A. .

NEW MATHEMATICS AND NATURAL COMPUTATION, 2018, 14 (01) :37-52

[3]

Mordeson J. N., 2018, STUDIES FUZZINESS SO, V365

[4]

Rosenfeld Azriel, 1975, Fuzzy Sets and their Applications to Cognitive and Decision Processes, P75, DOI DOI 10.1016/B978-0-12-775260-0.50008-6

[5]

Tracking in Persons: Global Patterns The United Nations Office for Drugs and Crime, TRAFF PERS GLOB PATT

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