Volume 19 • Issue 1 • PP: 166-176 • 2022
Agriculture Production Decision Making using Generalized q-Rung Neutrosophic Soft Set Method
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© 2022 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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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
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