Determining Dyslexic User Model Membership Using Fuzzy Approach
| Authors | |
|---|---|
| Year of publication | 2018 |
| Type | Article in Proceedings |
| Conference | Fuzzy Systems and Data Mining IV |
| MU Faculty or unit | |
| Citation | |
| Web | online version |
| Doi | http://dx.doi.org/10.3233/978-1-61499-927-0-3 |
| Field | Informatics |
| Keywords | Dyslexia; Fuzzy Approach; User Categorization |
| Description | This article introduces an idea and process of using the fuzzy approach for clas-sifying dyslexia symptoms and its progression through getting information about individual problems that people with dyslexia deal with. Correct classification is important for emerging new assistive technologies accommodating text for people with dyslexia and for further clinical and psychological studies of dyslexia and lin-guistic based problems. As reading problems are wider, this clinical and psycholo-gical studies based on our approach may also serve for studying for instance pro-blems after stroke, brain tumors, epilepsy etc. |
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