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@proceedings{1385990,
author = {Pařilová, Tereza and Hladká, Eva and Říha, Pavel},
booktitle = {The 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery},
keywords = {fuzzy model; dyslexia; linguistics},
language = {eng},
note = {to appear},
title = {Designing Fuzzy Apparatus to Model Dyslexic Individual Symptoms for Clinical Use},
year = {2017}
}
TY - CONF
ID - 1385990
AU - Pařilová, Tereza - Hladká, Eva - Říha, Pavel
PY - 2017
TI - Designing Fuzzy Apparatus to Model Dyslexic Individual Symptoms for Clinical Use
N1 - to appear
KW - fuzzy model
KW - dyslexia
KW - linguistics
N2 - Along with the discovery of new facts and the development of new technologies and methodologies, more and more definitions and specifications emerge. The quantity of these emergences, however, can lead to paradoxical contradictions, which obscure borders. Often, we see this phenomenon of vagueness within natural language or non-exact topics. Fuzzy principles are therefore applied in wide range of (not only) scientific areas. In applied technical science, a user model based on interface and human computer cooperation meets such fuzzy borders. So, why not use it in assistive technology models? Fuzzy deals from its nature with linguistic variables and such variables are being transformed from numbers to expressions on predefined scales. Dyslexia is a neurobiological cognitive based disorder and ideal for (neuro) fuzzy computational modeling for many reasons. This paper describes the idea and process of using the fuzzy approach for obtaining information about individual problems of dyslexic users and differentiating between the type(s) of dyslexic user model he or she may belong to. Such information may serve for further clinical and psychological studies of dyslexia and linguistic based problems.
ER -
PAŘILOVÁ, Tereza, Eva HLADKÁ a Pavel ŘÍHA. Designing Fuzzy Apparatus to Model Dyslexic Individual Symptoms for Clinical Use. In \textit{The 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery}. 2017.
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