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@inproceedings{1396915,
author = {Pařilová, Tereza},
address = {Amsterdam, Netherlands},
booktitle = {Fuzzy Systems and Data Mining IV},
doi = {http://dx.doi.org/10.3233/978-1-61499-927-0-3},
edition = {309},
editor = {Antonio J. Tallón-Ballesteros, Kaicheng Li},
keywords = {Dyslexia; Fuzzy Approach; User Categorization},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Amsterdam, Netherlands},
isbn = {978-1-61499-926-3},
pages = {3-11},
publisher = {IOS Press},
title = {Determining Dyslexic User Model Membership Using Fuzzy Approach},
url = {http://ebooks.iospress.com/volumearticle/50649},
year = {2018}
}
TY - JOUR
ID - 1396915
AU - Pařilová, Tereza
PY - 2018
TI - Determining Dyslexic User Model Membership Using Fuzzy Approach
PB - IOS Press
CY - Amsterdam, Netherlands
SN - 9781614999263
KW - Dyslexia
KW - Fuzzy Approach
KW - User Categorization
UR - http://ebooks.iospress.com/volumearticle/50649
L2 - http://ebooks.iospress.com/volumearticle/50649
N2 - 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.
ER -
PAŘILOVÁ, Tereza. Determining Dyslexic User Model Membership Using Fuzzy Approach. In Antonio J. Tallón-Ballesteros, Kaicheng Li. \textit{Fuzzy Systems and Data Mining IV}. 309th ed. Amsterdam, Netherlands: IOS Press, 2018, p.~3-11. ISBN~978-1-61499-926-3. Available from: https://dx.doi.org/10.3233/978-1-61499-927-0-3.
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