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International Journal of Neutrosophic Science

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International Journal of Neutrosophic Science

Volume 22 , Issue 1 , PP: 08-16, 2023 | Cite this article as | XML | Html | PDF | Full Length Article

Neutrosophic Monte Carlo Simulation Approach for Decision Making In Medical Diagnostic Process Under Uncertain Environment

M. K. Sharma 1 * , Nitesh Dhiman 2 , Shubham Kumar 3 , Laxmi Rathour 4 , Vishnu Narayan Mishra 5

  • 1 Department of Mathematics, Ch. Charan Singh University, Meerut, India - (drmukeshsharma@gamil.com)
  • 2 Department of Mathematics, Ch. Charan Singh University, Meerut, India; Department of Mathematics, Zakir Husain Delhi College, New Delhi, India-110002 - (niteshdhiman911@gmail.com)
  • 3 Department of Mathematics, Ch. Charan Singh University, Meerut, India - (shubhammzn17@gmail.com)
  • 4 Department of Mathematics, National Institute of Technology, Chaltlang, Aizawl 796 012, Mizoram, India - (laxmirathour817@gmail.com)
  • 5 Department of Mathematics, Indira Gandhi National Tribal University, Lalpur, Amarkantak, Anuppur, Madhya Pradesh 484 887, India - (vishnunarayanmishra@gmail.com)

    • Doi: https://doi.org/10.54216/IJNS.220101

    Received: March 12, 2023 Revised: June 02, 2023 Accepted: August 15, 2023
    Abstract

    This work emphasis on the basic notions regarding the Neutrosophic Fuzzy Sets (NFSs) with operations and their applicability in medical diagnostic process. In this manuscript, we developed neutrosophic fuzzy set-based Monte Carlo simulation technique for the decision making in medical diagnostic processin fuzzy environment. In this work, we managed the waiting time and idle time of the doctor during the treatment process of the patients.  The various parameters are stated as linguistic variable in the form of NFSs. The developed neutrosophic Monte Carlo simulation technique (NMCST) is extended in the planning strategy of a doctor to treat the patient in a neutrosophic fuzzy environment. For the validation and authentication of the efficiency of the proposed NMCST, numerical computations are carried out with the examples of medical problems.

     

    Keywords :

    Neutrosophic Fuzzy Sets (NFSs) , Monte Carlo Simulation , Neutrosophic Fuzzy Set-based Monte Carlo Simulation Technique (NMCST) , Medical Diagnostic Process

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    Cite This Article As :
    K., M.. , Dhiman, Nitesh. , Kumar, Shubham. , Rathour, Laxmi. , Narayan, Vishnu. Neutrosophic Monte Carlo Simulation Approach for Decision Making In Medical Diagnostic Process Under Uncertain Environment. International Journal of Neutrosophic Science, vol. , no. , 2023, pp. 08-16. DOI: https://doi.org/10.54216/IJNS.220101
    K., M. Dhiman, N. Kumar, S. Rathour, L. Narayan, V. (2023). Neutrosophic Monte Carlo Simulation Approach for Decision Making In Medical Diagnostic Process Under Uncertain Environment. International Journal of Neutrosophic Science, (), 08-16. DOI: https://doi.org/10.54216/IJNS.220101
    K., M.. Dhiman, Nitesh. Kumar, Shubham. Rathour, Laxmi. Narayan, Vishnu. Neutrosophic Monte Carlo Simulation Approach for Decision Making In Medical Diagnostic Process Under Uncertain Environment. International Journal of Neutrosophic Science , no. (2023): 08-16. DOI: https://doi.org/10.54216/IJNS.220101
    K., M. , Dhiman, N. , Kumar, S. , Rathour, L. , Narayan, V. (2023) . Neutrosophic Monte Carlo Simulation Approach for Decision Making In Medical Diagnostic Process Under Uncertain Environment. International Journal of Neutrosophic Science , () , 08-16 . DOI: https://doi.org/10.54216/IJNS.220101
    K. M. , Dhiman N. , Kumar S. , Rathour L. , Narayan V. [2023]. Neutrosophic Monte Carlo Simulation Approach for Decision Making In Medical Diagnostic Process Under Uncertain Environment. International Journal of Neutrosophic Science. (): 08-16. DOI: https://doi.org/10.54216/IJNS.220101
    K., M. Dhiman, N. Kumar, S. Rathour, L. Narayan, V. "Neutrosophic Monte Carlo Simulation Approach for Decision Making In Medical Diagnostic Process Under Uncertain Environment," International Journal of Neutrosophic Science, vol. , no. , pp. 08-16, 2023. DOI: https://doi.org/10.54216/IJNS.220101

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