The analyze of the functional and emotional levels of development of DIR/Floortime model: a fuzzy system approach
Palavras-chave:
Fuzzy system, Neurodevelopment, Stage of Development, DiagnosticResumo
The human development has a lot of different areas and the most unpredictable is the neurodevelopment,
that starts at the first moments of life, and do not have any physical feature, specific exam or methodology to do
their analyze and diagnostic. They have only a treatment that should start early to get better results. The process
of identification is based on the specific features demonstrated by the patient, who are normally children. In
this context, the DIR methodology, that covers from the approach method to the treatment, shows the stages of
development that every human must pass to accomplish your healthy growth, they were defined as the functional
and emotional levels of development, and through your co-relation may be possible diagnose a particular delay of
development or a neurodevelopment disorder. However, this process has a lot of variable to be analyzed, and very
hidden information due the difficult to obtained information by the kid. In this paper is proposed a fuzzy system
to analyze the functional and emotional levels of development, through variables obtained by the psychologist
professional. The neuro-fuzzy identification was used to construct the Takagi-Sugeno Rules based on a previous set
of data, where your input was randomly generated, and your output were validated by the psychologist professional.
The backpropagation was applied to adjust the antecedent membership function. The results shows that the system
can deal with the hidden and vague information, and have a strong potential to be applied in the diagnostic of
neurodevelopmental disorders.