Abstract
The paper shows the adaptation of Fuzzy Logic and AHP to recognize Alzheimer’s disease at early stages. Alzheimer disease (AD) is a neurological disease which is mostly seen in the age of 65 years and above, when they have problems like memory loss, decline in cognitive abilities and changes in moo d and personality. We all know that human behavior is mostly based on qualitative facts, which are hard to be measured and cannot be judged easily. Fuzzy logic and AI are certain latest methods to approximate and to bring out a decision or an inference. Through this method, certain linguistic terms are used like very high, high, low, very low etc. and the weights are calculated accordingly, via the response. During final interpretation, the identified parameters are diagnosed through mapping and framing a hierarchy of major subareas to arrive at a subsequent decision. A set of governing parameters are framed and then subparametrs been identified, creating a hierarchy. Thus this tool can be used for final diagnosis of the Alzheimer disease as it is Yes Or No for the concerned patient.
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