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Neutrosophic Sets and Systems
Article . 2021
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Neutrosophic Statistics applied in Social Science

Authors: Adrián Alejandro Alvaracín Jarrín; David Santiago Proaño Tamayo; Salomón Alejandro Montecé Giler; Juan Carlos Arandia Zambrano; Dante Manuel Macazana Fernández;

Neutrosophic Statistics applied in Social Science

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.

Keywords

neutrosophy, Electronic computers. Computer science, neutrosophic statistics, QA1-939, neutrosociology, QA75.5-76.95, social sciences, Mathematics, Social Sciences, Neutrosophy, Neutrosociology, Neutrosophic Statistics.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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