Neutrosophic Statistics applied in Social Science

Autor: Adrián Alejandro Alvaracín Jarrín, David Santiago Proaño Tamayo, Salomón Alejandro Montecé Giler, Juan Carlos Arandia Zambrano, Dante Manuel Macazana Fernández
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Neutrosophic Sets and Systems, Vol 44, Pp 1-9 (2021)
Druh dokumentu: article
ISSN: 2331-6055
2331-608X
DOI: 10.5281/zenodo.5162418
Popis: 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.
Databáze: Directory of Open Access Journals