Providing a Framework for Evaluating the Quality of Health Care Services Using the HealthQual Model and Multi-Attribute Decision-Making Under Imperfect Knowledge of Data

Due to the increasing importance of evaluating quality health care services using patient-centred approach, this study aimed propose a novel framework by combining SERVQUAL model and multi-attribute decision-making (MADM) methods interval-valued triangular fuzzy numbers (IVTFN). In study, after an initial overview related work expert opinions, list most important dimensions indicators for measuring was extracted localized. Then, determine each identified factors, one MADM’s acceptable called step-wise weight assessment ratio analysis (SWARA) used. in order use developed comparing different centres ranking them, collecting evaluation data form linguistic variables, another practical method field MADM has been used, namely, Additive Ratio Assessment (ARAS) method. The sub-dimensions are, on hand, appropriate conditions case and, other findings from implementation show that among service quality, responsiveness then reliability highest rank case. Also, IVTFN, eliminates problems Likert scale reduces possibility facing imperfect knowledge which is common problem qualitative evaluations. Utilizing results can significantly help decision makers their choice strategies improve quality. Furthermore, improving play role promoting competitiveness performance providers patient satisfaction with received. as side effect, be used compare hospitals centres, well ranking.