Innovative CODAS Algorithm for q-Rung Orthopair Fuzzy Information and Cancer Risk Assessment

Due to insufficient healthcare facilities for the fight against cancer, a large percentage of individuals die. Utilizing computational tools inside health and medical system helps minimize fatalities. Timely cancer detection enhances likelihood effective therapy. Cancer risk assessment is important legal regulatory reasons, prevention, avoid risks. The approach assessing based on q-rung orthopair fuzzy set (q-ROFS) described. technique predicated multifactor evaluation cancerous. q-ROFS robust modeling uncertainties in multicriteria decision making (MCDM). combinative distance-based (CODAS) integrates two separate approaches, namely “simple additive weighting” (SAW) method “weighted product (WPM)”. In this study, CODAS extended framework with application assessment. Additionally, symmetry optimal carried out by comparison analysis suggested model some existing models.