International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/2033 2020 2020 Neutrosophic Monte Carlo Simulation Approach for Decision Making In Medical Diagnostic Process Under Uncertain Environment Department of Mathematics, Ch. Charan Singh University, Meerut, India M. K. Sharma Department of Mathematics, Ch. Charan Singh University, Meerut, India; Department of Mathematics, Zakir Husain Delhi College, New Delhi, India-110002 Nitesh Dhiman Department of Mathematics, Ch. Charan Singh University, Meerut, India Shubham Kumar Department of Mathematics, National Institute of Technology, Chaltlang, Aizawl 796 012, Mizoram, India Laxmi Rathour Department of Mathematics, Indira Gandhi National Tribal University, Lalpur, Amarkantak, Anuppur, Madhya Pradesh 484 887, India Vishnu Narayan Mishra 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.   2023 2023 08 16 10.54216/IJNS.220101 https://www.americaspg.com/articleinfo/21/show/2033