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dc.creatorAcharjee, Santanu
dc.creatorSarma, Diganta Jyoti
dc.creatorHanneman, Robert A.
dc.creatorMordeson, John N.
dc.creatorMalik, Davender S.
dc.date2018-11-22
dc.date.accessioned2019-11-14T12:01:16Z
dc.date.available2019-11-14T12:01:16Z
dc.identifierhttps://www.revistaproyecciones.cl/article/view/3273
dc.identifier.urihttps://revistaschilenas.uchile.cl/handle/2250/113663
dc.descriptionIn 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.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidad Católica del Norte.es-ES
dc.relationhttps://www.revistaproyecciones.cl/article/view/3273/3010
dc.rightsDerechos de autor 2018 Proyecciones. Journal of Mathematicses-ES
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0/es-ES
dc.sourceProyecciones. Journal of Mathematics; Vol 37 No 4 (2018); 637-681en-US
dc.sourceProyecciones. Revista de Matemática; Vol. 37 Núm. 4 (2018); 637-681es-ES
dc.source0717-6279
dc.source0716-0917
dc.subjectFuzzy soft seten-US
dc.subjectcorrelation coefficienten-US
dc.subjectα-cuten-US
dc.subjectsoft seten-US
dc.subjectvulnerabilityen-US
dc.subjecthuman traffickingen-US
dc.titleFuzzy soft attribute correlation coefficient and application to data of human trafficking.en-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeArtículo revisado por pareses-ES


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