Composite indicators should ideally identify multidimensional concepts that cannot be captured by a single variable. In this paper, we suggest a method based on fuzzy set theory for the construction of fuzzy synthetic indexes of dyslexia, using the set of manifest variables measured by means of reading tests. A few criteria for assigning values to the membership function are discussed, as well as criteria for defining the weights of the variables. An application regarding the diagnosis of dyslexia in primary and middle school in Italy is presented. In this application, the fuzzy approach is compared with the crisp approach actually used in Italy for detecting dyslexic children in compulsory school.
New fuzzy composite indicators for dyslexia / Morlini, Isabella; Scorza, Maristella. - (2017), pp. 713-718. (Intervento presentato al convegno STATISTICS AND DATA SCIENCE: NEW CHALLENGES, NEW GENERATIONS tenutosi a Firenze nel 28-30 Giugno 2017).