A multi-criteria decision-making tool for the screening of Asperger syndrome

The primary goal of this research paper is to develop a tool for screening for Asperger Syndrome (AS). The “multi-criteria decision-making (MCDM)” method, an extensively used approach for making decisions involving several criteria, has been used to create this screening tool. The amount of knowledge available to a person is vast, ambiguous, and uncertain; fuzzy logic has been used to deal with ambiguity and confusion. Due to the opulence of symptoms that may cause AS, to know which symptoms affect more and which affect less, a “fuzzy analytic hierarchy process (FAHP)” algorithm has been used with the “If-Then” rule-based approach for determining whether or not an individual has an AS. The developed tool uses a hierarchy approach called “Fuzzy Tree” to reduce the huge number of rules. Efforts are being made to develop a less complex tool that can assess a person in a short period and provide accurate results. The validity of the design was verified by the two groups of individuals consisting of the AS group (N = 25) and the Typically Developed (TD) group (N = 25). It was confirmed that the method created efficiently differentiated AS participants from TD and has a precision of 99%.