Neutrosophic Statistics applied in Social Science

Authors

  • Adrián Alejandro Alvaracín Jarrín University of Regional Autónoma de Los Andes. UNIANDES
  • David Santiago Proaño Tamayo University of Regional Autónoma de Los Andes. UNIANDES
  • Salomón Alejandro Montecé Giler University of Regional Autónoma de Los Andes. UNIANDES
  • Juan Carlos Arandia Zambrano University of Regional Autónoma de Los Andes. UNIANDES
  • Dante Manuel Macazana Fernández Universidad Nacional Mayor de San Marcos. Perú

Keywords:

Social Sciences, Neutrosophy, Neutrosociology, Neutrosophic Statistics

Abstract

Social Science deals with the study of phenomena related to the social status of human beings. The importance of such
sciences lies in the fact that they make it possible to know, predict, modify and improve the functioning of human societies today.
Due to the great complexity of modern societies, it is virtually impossible to have accurate data or knowledge about any
contemporary society. That is why neutrosophic theory is suitable for representing and modeling the data from studies on any
social sciences. They may contain data that is contradictory, incomplete, inaccurate, vague, and so on. In particular, neutrosophic
statistics generalizes classical statistics to interval-valued data. Since classical statistics are of great importance for the study of
Social Sciences, in this paper, we compile, define and illustrate some statistical methods typical of classical statistics generalized
to neutrosophic statistics. We will emphasize the Legal Sciences in our approach.

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Published

2021-08-06

Issue

Vol. 44 (2021): Neutrosophic Sets and Systems, {Special Issue:Impact of neutrosophic scientific publication in Latin American context}

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

Alvaracín Jarrín, A. A. ., Proaño Tamayo, D. S. ., Montecé Giler, S. A. ., Arandia Zambrano, J. C. ., & Macazana Fernández, D. M. . (2021). Neutrosophic Statistics applied in Social Science. Neutrosophic Sets and Systems, 44, 01-09. http://fs.unm.edu/nss8/index.php/111/article/view/2690

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