1 Affiliation : Department of Advanced Mathematical Science, Saveetha School of Engineering, Saveetha University, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, India
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2 Affiliation : Department of Advanced Mathematical Science, Saveetha School of Engineering, Saveetha University, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, India
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3 Affiliation : Department of Mathematics, Bharath Institute of Higher Education and Research, Tamil Nadu, Chennai-600073, India
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4 Affiliation : Fuzzy Algebras and Decision-Making Problems Research Unit, Department of Mathematics, School of Science, University of Phayao, Mae Ka, Mueang, Phayao 56000, Thailand
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5 Affiliation : Laboratory of Information Processing, Faculty of Science Ben M’Sik, Universit´s Hassan II, BP 7955 Casablanca, Morocco
Email : firstname.lastname@example.org
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.
GqRNSSS; PyFSS; decision making problem
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