Akademik Veri Yönetim Sistemi
Journal of Supercomputing, cilt.79, sa.17, ss.19848-19878, 2023 (SCI-Expanded)
In an interval-valued Fermatean fuzzy environment, a group decision-making issue relating to data on the disaster preparedness of hospitals is presented in this presentation. Interval-valued Fermatean fuzzy sets have the benefit of being able to accurately reflect the assessment data provided by decision-makers through both qualitative and quantitative elements for the examination of “disaster preparedness of hospitals” challenges. The conventional decision-making techniques will falter, nevertheless, if the dimension and nonlinear connection of the choice data keep expanding. To lower the dimensionality for nonlinear characteristics, we build the interval-valued Fermatean fuzzy linguistic kernel principal component analysis model. In the last part of the study, an illustrative example is given about the method proposed and the assessment of the disaster preparedness of the university hospital according to the hospital management cycle and the detection of its deficiencies. After making a comparison analysis and expressing the advantages of the method, we explained the theoretical, managerial, and political implications of the evaluations to be made with the method we recommend in all hospitals, based on the illustrative example given.