Neutrosophic Monte Carlo Simulation Approach for Decision Making In Medical Diagnostic Process Under Uncertain Environment
M. K. Sharma1, Nitesh Dhiman1,2, Shubham Kumar1, Laxmi Rathour3, Vishnu Narayan Mishra4*
1Department of Mathematics, Ch. Charan Singh University, Meerut, India
2Department of Mathematics, Zakir Husain Delhi College, New Delhi, India-110002
3Department of Mathematics, National Institute of Technology, Chaltlang, Aizawl 796 012, Mizoram, India
4Department of Mathematics, Indira Gandhi National Tribal University, Lalpur, Amarkantak, Anuppur, Madhya Pradesh 484 887, India
Email: drmukeshsharma@gamil.com; niteshdhiman911@gmail.com; shubhammzn17@gmail.com; laxmirathour817@gmail.com; vishnunarayanmishra@gmail.com
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