Q-ROF Fuzzy TOPSIS and VIKOR Methods for the Selection of Sustainable Private Health Insurance Policies

As a result of the inability people to meet their demands in face increasing demands, tend have private health insurance addition general offered as public service. Due trend taking out sustainable insurance, number plans market has increased significantly. Therefore, may be confronted by wide range plan options. However, there is limited information about how analyze policies protect terms benefit payouts illness or accident. Thus, objective this study provide model aid evaluating various and selecting most appropriate one best healthcare environment. In study, hybrid fuzzy Multiple Criteria Decision Making (MCDM) method suggested for selection plans. Because variety firms uncertainties associated with coverages they provide, q-level set-based decision-making techniques been chosen. problem choosing was handled considering case evaluations five alternative companies made expert decision makers line determined criteria. After assessments makers, policy choices were compared using Q-Rung Orthopair Fuzzy (Q-ROF) sets Technique Order Preference Similarity Ideal Solution (TOPSIS) Q-ROF VIšeKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methods. This first attempts solve under imprecise applying TOPSIS VIKOR At end experimental results are evaluated sensitivity analysis determine robustness reliability obtained results.