Reducing healthcare-associated infections (HAIs) remains a significant challenge for patient safety and sustainability of healthcare services worldwide, and a pressing need exists for decision-making models that can effectively encapsulate uncertainty, ambiguity, and discordant expert opinions. Traditional infection-control evaluation models mainly depend on classical or basic fuzzy methodologies, which unfortunately fall short in encapsulating circular preference…