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Open AccessArticle

Neutrosophic Modeling of Talcott Parsons’s Action and Decision-Making Applications for It

1
Department of Sociology, Psychology and Philosophy Teaching, Education Faculty, Çukurova University, Balcali, 01330 Saricam/Adana, Turkey
2
Department of Mathematics, Gaziantep University, 27310 Gaziantep, Turkey
*
Author to whom correspondence should be addressed.
Symmetry 2020, 12(7), 1166; https://doi.org/10.3390/sym12071166
Received: 15 May 2020 / Revised: 2 July 2020 / Accepted: 3 July 2020 / Published: 13 July 2020
The grand theory of action of Parsons has an important place in social theories. Furthermore, there are many uncertainties in the theory of Parsons. Classical math logic is often insufficient to explain these uncertainties. In this study, we explain the grand theory of action of Parsons in neutrosociology for the first time. Thus, we achieve a more effective way of dealing with the uncertainties in the theory of Parsons as in all social theories. We obtain a similarity measure for single-valued neutrosophic numbers. In addition, we show that this measure of similarity satisfies the similarity measure conditions. By making use of this similarity measure, we obtain applications that allow finding the ideal society in the theory of Parsons within the theory of neutrosociology. In addition, we compare the results we obtained with the data in this study with the results of the similarity measures previously defined. Thus, we have checked the appropriateness of the decision-making application that we obtained. View Full-Text
Keywords: neutrosociology; modeling of grand theory of action of Talcott Parsons; single-valued neutrosophic number; measure of similarity; decision-making applications neutrosociology; modeling of grand theory of action of Talcott Parsons; single-valued neutrosophic number; measure of similarity; decision-making applications
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MDPI and ACS Style

Aslan, C.; Kargın, A.; Şahin, M. Neutrosophic Modeling of Talcott Parsons’s Action and Decision-Making Applications for It. Symmetry 2020, 12, 1166.

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