Dynamic intuitionistic fuzzy weighting averaging operator: A method for the diagnosis of the type of brain tumor

A tumor is a collection of cells and it is very difficult to diagnose the brain tumor. There are various types of brain tumors growing over the human brain. The concept of multiple attribute decision making(MADM) taken with the intuitionistic fuzzy information operators has wide applications in decision making processes. Here, we are using the concept of dynamic intuitionistic fuzzy weighted averaging (DIFWA) operator for the diagonisation of the type of brain tumor from the available set of brain tumors. Once the symptoms of the disease is investigated through various modes, by the help of the algorithm of dynamic intuitionistic fuzzy weighted averaging (DIFWA) operator, we can diagnosis the brain tumor and rank it. Finally, we demonstrate the algorithm based on the said operator by considering a hypothetical case study.