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Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that covers a range of symptoms such as impaired social skills and repetitive behaviours. The diagnosis of ASD in clinics is typically lengthy and cost-ineffective. Recent advances in machine learning could facilitate more efficient and effective detection of ASD. However, fuzzy systems, as a significant soft computing technique, have been sporadically applied in the diagnosis of ASD. This chapter therefore examines the use of a recently proposed Self-Organising Fuzzy Classifier with application to the “Autism Screening Adult” data retrieved from a mobile application.
|Title of host publication||Fuzzy Logic|
|Subtitle of host publication||Recent Applications and Developments|
|Editors||Jenny Carter, Francisco Chiclana Parilla, Arjab Singh Khuman, Tianhua Chen|
|Publication status||Accepted/In press - 15 Oct 2020|