Determining Dyslexic User Model Membership Using Fuzzy Approach

D 2018

Determining Dyslexic User Model Membership Using Fuzzy Approach

PAŘILOVÁ, Tereza

Basic information

Original name

Determining Dyslexic User Model Membership Using Fuzzy Approach

Authors

PAŘILOVÁ, Tereza (203 Czech Republic, guarantor, belonging to the institution)

Edition

309. vyd. Amsterdam, Netherlands, Fuzzy Systems and Data Mining IV, p. 3-11, 9 pp. 2018

Publisher

IOS Press

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

online version

RIV identification code

RIV/00216224:14330/18:00102111

Organization unit

Faculty of Informatics

ISBN

978-1-61499-926-3

ISSN

DOI

http://dx.doi.org/10.3233/978-1-61499-927-0-3

Keywords in English

Dyslexia; Fuzzy Approach; User Categorization

Abstract

V originále

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.

Links

MUNI/A/0854/2017, interní kód MU

Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VII.

Investor: Masaryk University, Category A

Citovat

PAŘILOVÁ, Tereza. Determining Dyslexic User Model Membership Using Fuzzy Approach. In Antonio J. Tallón-Ballesteros, Kaicheng Li. 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.

@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.

Detailed Information on Publication Record