Picture Fuzzy Soft Prioritized Aggregation Operators and Their Applications in Medical Diagnosis

A medical diagnosis is one the most efficient processes of determining a disease based on person’s symptoms and signs. In recent days, due to complexities same type diseases, it very difficult diagnose by using old methods techniques. this way, new can help lot in reaching an accurate conclusion, depending upon timing sequences history. The physician relies other clues like tests imaging tests. So, list possible diagnoses be determined, which are referred as different diagnoses. To handle these types issues manuscript, additional information identified, confirmed. Under consideration classical data, task deal with complex asymmetric sorts data. Fuzzy set theory has wide range applications, from engineering field. Different techniques have been proposed support decision-making process fields. Picture fuzzy soft sets more generalized structures tools formalize decently accurately. devoted notion, article picture settings, we firstly established some basic operational laws for number; then laws, developed aggregation operators named prioritized average geometric operators. real-world problems, useful analyzing uncomfortable information. Furthermore, properties introduced initiated discussed briefly. Moreover, show effective use approach diagnoses, algorithm, along descriptive example. Additionally, comparative analysis work shows superiority effectiveness approach.