Agriculture Production Decision Making using Generalized q-Rung Neutrosophic Soft Set Method

G.; M.; K.; Aiyared; Said

doi:https://doi.org/10.54216/IJNS.190112

Full Length Article

Volume 19 • Issue 1 • PP: 166-176 • 2022

Agriculture Production Decision Making using Generalized q-Rung Neutrosophic Soft Set Method

G. Shanmugam ^1*

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,

M. Palanikumar ¹

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,

K. Arulmozhi ²

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,

Aiyared Iampan ³

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,

Said Broumi ⁴

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¹Department of Advanced Mathematical Science, Saveetha School of Engineering, Saveetha University, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, India

²Department of Mathematics, Bharath Institute of Higher Education and Research, Tamil Nadu, Chennai-600073, India

³Fuzzy Algebras and Decision-Making Problems Research Unit, Department of Mathematics, School of Science, University of Phayao, Mae Ka, Mueang, Phayao 56000, Thailand

⁴Laboratory of Information Processing, Faculty of Science Ben M’Sik, Universit´s Hassan II, BP 7955 Casablanca, Morocco

* Corresponding Author.

DOI https://doi.org/10.54216/IJNS.190112

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Received: April 19, 2022 Accepted: August 13, 2022

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Abstract

This paper introduces the generalized q-rung neutrosophic soft set (GqRNSSS) theory and its use to solve actual

problems. We also define a few operations that make use of the GqRNSSS. The GqRNSSS is constructed

by generalizing both the Pythagorean neutrosophic soft set (PyNSSS) and Pythagorean fuzzy soft set (PyFSS).

We give a method for agricultural output that is based on the proposed similarity measure of GqRNSSS. If two

GqRNSSS are compared, it can be determined whether or not a person produces good agricultural output. We

support a strategy for dealing with the decision-making (DM) problem that makes use of the generalized qrung

soft set model. In this article, we discuss the application of a similarity measure between two GqRNSSS

in agricultural output. Show how they can be successfully applied to challenges with uncertainty.

Keywords

GqRNSSS PyFSS decision making problem

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Shanmugam, G., Palanikumar, M., Arulmozhi, K., Iampan, Aiyared, Broumi, Said. "Agriculture Production Decision Making using Generalized q-Rung Neutrosophic Soft Set Method." International Journal of Neutrosophic Science, vol. Volume 19, no. Issue 1, 2022, pp. 166-176. DOI: https://doi.org/10.54216/IJNS.190112

Shanmugam, G., Palanikumar, M., Arulmozhi, K., Iampan, A., Broumi, S. (2022). Agriculture Production Decision Making using Generalized q-Rung Neutrosophic Soft Set Method. International Journal of Neutrosophic Science, Volume 19(Issue 1), 166-176. DOI: https://doi.org/10.54216/IJNS.190112

Shanmugam, G., Palanikumar, M., Arulmozhi, K., Iampan, Aiyared, Broumi, Said. "Agriculture Production Decision Making using Generalized q-Rung Neutrosophic Soft Set Method." International Journal of Neutrosophic Science Volume 19, no. Issue 1 (2022): 166-176. DOI: https://doi.org/10.54216/IJNS.190112

Shanmugam, G., Palanikumar, M., Arulmozhi, K., Iampan, A., Broumi, S. (2022) 'Agriculture Production Decision Making using Generalized q-Rung Neutrosophic Soft Set Method', International Journal of Neutrosophic Science, Volume 19(Issue 1), pp. 166-176. DOI: https://doi.org/10.54216/IJNS.190112

Shanmugam G, Palanikumar M, Arulmozhi K, Iampan A, Broumi S. Agriculture Production Decision Making using Generalized q-Rung Neutrosophic Soft Set Method. International Journal of Neutrosophic Science. 2022;Volume 19(Issue 1):166-176. DOI: https://doi.org/10.54216/IJNS.190112

G. Shanmugam, M. Palanikumar, K. Arulmozhi, A. Iampan, S. Broumi, "Agriculture Production Decision Making using Generalized q-Rung Neutrosophic Soft Set Method," International Journal of Neutrosophic Science, vol. Volume 19, no. Issue 1, pp. 166-176, 2022. DOI: https://doi.org/10.54216/IJNS.190112

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