فهرست نشریات علمی دسترسی آزاد ایران

The concept of a multi-fuzzy set (MFS) is a hybrid mathematical approachthat aids reasoning and decision-making in situations characterized by imprecise information and multiple occurrences. Researchers have developed robustMFS-based frameworks that facilitate decision-making by identifying optimalalternatives. However, these frameworks often struggle to select the desired alternative in uncommon situations. To address the limitations of existing methods,we incorporated relations and operators with MFS to better measure levels ofuncertainty. To enhance the effectiveness of decision-making, we proposed twoapproaches based on the significance of the criteria within the MFS framework.First, we introduced a relative weight-based approach, where the weight of eachcriterion is estimated dynamically. Second, we developed a normalized-baseddecision-making approach, which generates optimal solutions based on normalized score factors. We demonstrated the effectiveness of our proposed approachesusing semi-realistic cases in health science and healthcare management. Furthermore, we evaluated the performance of the healthcare system across differentsocio-economic regions, which helped to illustrate the relative importance of thecriteria