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International Journal of Neutrosophic Science

Volume 19 , Issue 1 , PP: 166-176, 2022 | Cite this article as | XML | Html | PDF | Full Length Article

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

G. Shanmugam 1 * , M. Palanikumar 2 , K. Arulmozhi 3 , Aiyared Iampan 4 , Said Broumi 5

  • 1 Department of Advanced Mathematical Science, Saveetha School of Engineering, Saveetha University, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, India - (gsm.maths@gmail.com)
  • 2 Department of Advanced Mathematical Science, Saveetha School of Engineering, Saveetha University, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, India - (palanimaths86@gmail.com)
  • 3 Department of Mathematics, Bharath Institute of Higher Education and Research, Tamil Nadu, Chennai-600073, India - (arulmozhiems@gmail.com)
  • 4 Fuzzy Algebras and Decision-Making Problems Research Unit, Department of Mathematics, School of Science, University of Phayao, Mae Ka, Mueang, Phayao 56000, Thailand - (aiyared.ia@up.ac.th)
  • 5 Laboratory of Information Processing, Faculty of Science Ben M’Sik, Universit´s Hassan II, BP 7955 Casablanca, Morocco - (broumisaid78@gmail.com)

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

    Received: April 19, 2022 Accepted: August 13, 2022
    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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    Cite This Article As :
    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. , no. , 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, (), 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 , no. (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 , () , 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. (): 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, vol. , no. , pp. 166-176, 2022. DOI: https://doi.org/10.54216/IJNS.190112

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