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Proyecciones (Antofagasta)

versión impresa ISSN 0716-0917

Proyecciones (Antofagasta) vol.37 no.4 Antofagasta dic. 2018 


Fuzzy soft attribute correlation coefficient and application to data of human trafficking

Santanu Acharjee1 

Diganta Jyoti Sarma2 

Robert A. Hanneman3 

John N. Mordeson4 

Davender S. Malik5 

1 Debraj Roy College, Economics and Computational Rationality Group, Department of Mathematics, Golaghat-785621, Assam, India, e-mail:

2 Central Institute of Technology, Department of Mathematics, BTAD, Kokrajhar-783370, Assam, India, e-mail:

3 University of California, Department of Sociology, Riverside California-92521 U. S. A., e-mail:

4 Creighton University, Center for Mathematics of Uncertainty, Department of Mathematics, Omaha, Nebraska, U. S. A., e-mail:

5 Creighton University, Center for Mathematics of Uncertainty, Department of Mathematics, Omaha, Nebraska, U. S. A., e-mail:


In this paper, we introduce fuzzy soft attribute correlation coefficient and apply it to find the correlation between vulnerability government response of various countries related to human trafficking based on six regions with the help of data from “The Global Slavery Index 2016”. Comparison of fuzzy soft attribute correlation coefficients is done with the conventional analysis of sociology by calculating Pearson’s zero-order product-moment correlations. Along with these, some fundamental concepts of mathematical statistics are developed with respect to fuzzy soft set.

Keywords: Fuzzy soft set; correlation coefficient; α-cut; soft set; vulnerability; human trafficking

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Received: January 2018; Accepted: April 2018

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