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