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

  • Santanu Acharjee Debraj Roy College.
  • Diganta Jyoti Sarma Central Institute of Technology.
  • Robert A. Hanneman University of California.
  • John N. Mordeson Creighton University.
  • Davender S. Malik Creighton University.


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.

Biografía del autor

Santanu Acharjee, Debraj Roy College.
Economics and Computational Rationality Group, Department of Mathematics.
Diganta Jyoti Sarma, Central Institute of Technology.
Department of Mathematics, BTAD.
Robert A. Hanneman, University of California.
Department of Sociology.
John N. Mordeson, Creighton University.
Center for Mathematics of Uncertainty, Department of Mathematics.
Davender S. Malik, Creighton University.
Center for Mathematics of Uncertainty, Department of Mathematics.


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Cómo citar
S. Acharjee, D. Sarma, R. Hanneman, J. Mordeson, y D. Malik, «Fuzzy soft attribute correlation coefficient and application to data of human trafficking»., PJM, vol. 37, n.º 4, pp. 637-681, nov. 2018.