A decision-making framework for tuberculosis prognosis using T-spherical Q-rung linear Diophantine fuzzy hypersoft sets

Key Points

• The framework reveals promising applications in tuberculosis prognosis, enhancing decision-making for treatment.
• Key performance metrics indicate improved accuracy, potentially surpassing traditional methods.
• Analysis employs diophantine fuzzy hypersoft sets to formulate a structured decision-making approach.
• This highlights the need for further validation in real-world clinical settings.