An Alternative Method to Detect Alzheimer Disease through Intuitionistic Fuzzy Mathematical Modeling

Abstract

Human brain is the command centre of the human nervous system. It is one of the largest and most complex organs in the human body. Brain receives signals from the sensor organs of the body and output information to the muscles. This three-pound organ is the seat of initiator of the body movement, intelligence and controller of behavior. Here in this paper, we define an alternative method to detect patients suffering from Alzheimer disease by considering symptoms and influencing factors related to the disease. For this purpose, five types of Alzheimer diseases and five main types of symptoms of the decease have been analyzed on five patients. To reach at output we compose a hypothetical case analysis in generalized fuzzy set theory (intuitionistic fuzzy set theory) after applying the max-min and min-max composition. Kapoor’s entropy is used for different values of αto obtain the final result.