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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

    References

    [1] Concato J, Feinstein AR. Monte Carlo methods in clinical research: applications in multivariable analysis. J Investig Med. 1997 Aug;45(6):394-400. PMID: 9291696.

    [2] Abbas, S., Rovira, J. and Casanovas, J., Clinical trip optimization: Monte Carlo simulation Markov model for planning clinical trials recruitment, Contemp. Clin. Trials, 28(3),220-231(1997)

    [3] Kim, Y., Monte Carlo vs. Fuzzy Monte Carlo Simulation for Uncertainty and Global Sensitivity Analysis, Sustainability, 9(4), 1-14 (2017)

    [4] Sarrut, D.,Etxebeste, A., Muñoz, E., Krah, N. andLétang, J.M., Artificial Intelligence for Monte Carlo Simulation in Medical Physics, Front. Phys., 9,1-13 (2021)

    [5] Sharma, M. K., Yadav, H., Dhiman, N., and Mishra, V., Fuzzy reliability evaluation of complex systems with Monte Carlo simulation. In AIP Conference Proceedings, 2364, 020025 (2021)

    [6] Zadeh, L.A., Fuzzy sets. Information and control, 8(3), 338-353(1965)

    [7] Smarandache, F.,A unifying field in logics. Neutrosophy:neutrosophic probability, set and logic.American Research Press, Rehoboth (1998)

    [8] Wang, H., Smarandache, F., Sunderraman, R. and Zhang. Y.Q., Single valued neutrosophic sets. Multispace and Multistructure, 4, 410–413(2010), https://www.researchgate.net/publication/262034557

    [9] Wang, H., Smarandache, F., Sunderraman, R. and Zhang. Y.Q., Interval neutrosophic sets and logic: Theory and applications in computing. Hexis, Arizona, (2005)

    [10] Khan, N., Ahmad, L., Rao, G.S., Aslam, M. and Ali, A.M., A New X-bar Control Chart for Multiple Dependent State Sampling Using Neutrosophic Exponentially Weighted Moving Average Statistics with Application to Monitoring Road Accidents and Road Injuries, Int. J. Comput. Intell. Syst.,14, 1-11 (2021)

    [11] Dhiman, N. and Sharma, M., Fuzzy logic inference system for identification and prevention of coronavirus (COVID-19). International journal of innovative technology and exploring engineering, 9(6), 2278-3075 (2021)

    [12] Abdel, M., Mostafa, N.N., Sallam, K.M., Elgendi, I. and Munasinghe, K., Enhanced COVID-19 X-ray image pre-processing schema using type-2 neutrosophic set, Appl. Soft Comput.,123,1-13 (2022), DOI: 10.1016/j.asoc.2022.108948

    [13] Wang, H., Smarandache, F., Zhang, Y., and Sunderraman, R., Single valued neutrosophic sets. Infinite study, 12 (2010)

    [14] Das, S., Roy, B. K., Kar, M. B., Kar, S., and Pamučar, D., Neutrosophic fuzzy set and its application in decision making. Journal of Ambient Intelligence and Humanized Computing, 11, 5017-5029 (2020)

    [15] Görçün, Ö. F., A novel integrated MCDM framework based on Type-2 neutrosophic fuzzy sets (T2NN) for the selection of proper Second-Hand chemical tankers. Transportation Research Part E: Logistics and Transportation Review, 163, 102765 (2022)

    [16] Şahin, R., and Liu, P., Correlation coefficient of single-valued neutrosophic hesitant fuzzy sets and its applications in decision making. Neural Computing and Applications, 28, 1387-1395 (2017)

    [17] Zolfani, S. H., Görçün, Ö. F., Çanakçıoğlu, M., and Tirkolaee, E. B., Efficiency analysis technique with input and output satisficing approach based on Type-2 Neutrosophic Fuzzy Sets: A case study of container shipping companies. Expert Systems with Applications, 218, 119596 (2023)

    [18] Broumi, S., Talea, M., Bakali, A., and Smarandache, F., Single valued neutrosophic graphs. Journal of New Theory, 10, 86-101 (2016) [19] Ajay, D., and Chellamani, P., Pythagorean neutrosophic fuzzy graphs. International Journal of Neutrosophic Science, 11(2), 108-114 (2020)

    [20] Broumi, S., Smarandache, F., Talea, M., and Bakali, A., An introduction to bipolar single valued neutrosophic graph theory. Applied Mechanics and Materials, 841, 184-191 (2016)

     

    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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