Prediagnosis of Disease Based on Symptoms by Generalized Dual Hesitant Hexagonal Fuzzy Multi-Criteria Decision-Making Techniques

Multi-criteria decision-making (MCDM) is now frequently utilized to solve difficulties in everyday life. It challenging rank possibilities from a set of options since this process depends on so many conflicting criteria. The current study focuses recognizing symptoms illness and then using an MCDM diagnosis determine the potential disease. following are considered study: fever, body aches, fatigue, chills, shortness breath (SOB), nausea, vomiting, diarrhea. This shows how generalised dual hesitant hexagonal fuzzy number (GDHHχFN) used diagnose We also introduce new de-fuzzification method for GDHHχFN. To given condition, GDHHχFN coupled with tools, such as criteria importance through inter-criteria correlation (FCRITIC) method, finding weight Furthermore, weighted aggregated sum product assessment (FWASPAS) combined compromise solution (FCoCoSo) alternatives. alternative diseases chosen be malaria, influenza, typhoid, dengue, monkeypox, ebola, pneumonia. A sensitivity analysis carried out three patients affected by different assess validity reliability our methodologies.