Proposta de classificação da gravidade do desvio fonológico por meio da modelagem Fuzzy, segundo o modelo implicacional de complexidade de traços

Detalhes bibliográficos
Autor(a) principal: Brancalioni, Ana Rita
Data de Publicação: 2010
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
dARK ID: ark:/26339/001300000dww3
Texto Completo: http://repositorio.ufsm.br/handle/1/6484
Resumo: This study aimed at proposing a quantitative classification for phonological disorder severity based on the Implicational Model of Feature Complexity IMFC (MOTA, 1996), considering Rangel s adequacies (1998). Quantification of such proposal was based on the Fuzzy modeling; to do so, a Linguistic Fuzzy Model was created, developed from a system of fuzzy rules, processed in parallel, using Mamdani s minimum inference method and the center of area defuzzification method. The Model comprehended three input variables: Path Course, Level of Complexity and Acquisition of Phonemes, described in linguistic terms to which fuzzy subsets were added (three subsets for each variable). Determination of borders followed criteria and inference based on the IMFC and on the researcher s experience. The model output variable was the Severity Phonological Disorder Index based on four fuzzy subsets: Severe, Moderate-Severe, Moderate-Mild, and Mild. The Severity Phonological Disorder Index was calculated for all 204 deviating phonological systems included in the sample using the Fuzzy Linguistic Model, run in MATLAB fuzzy toolbox (2009b). Validation of modeling was performed by evaluating severity of a representative number of phonological systems by two groups of speech and language therapists. The first, GT-I (Group of Speech and Language Therapists I), was comprised of three speech and language therapists with a doctorate in applied linguistics and experienced in disordered speech. The second, GT-II (Group of Speech and Language Therapists II), was comprised of three speech and language therapists with a master s degree in human communication disorders and experienced in disordered speech at a research laboratory. Classification of disorder severity based on the proposal was similar to that assessed by the speech and language therapists in most phonological systems under evaluation. In addition, the criteria used in the proposal were used by Group I speech and language therapists and were considered adequate by Group II. Finally, the proposal has shown to be able to quantitatively differentiate degrees as to input variables (path course, level of complexity, acquisition of phonemes), sound classes, and distinctive features. Such findings allowed the conclusion that the proposal is able to adequately classify phonological disorder severity and presents validity for the speech and language therapists; therefore, it is an important reference for clinical practice.
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spelling Proposta de classificação da gravidade do desvio fonológico por meio da modelagem Fuzzy, segundo o modelo implicacional de complexidade de traçosClassification proposal of phonological disorder severity using Fuzzy methodology, according to the implicational model of feature complexityDistúrbio da falaFalaÍndice de gravidade de doençaClassificaçãoLógica fuzzySpeech disordersSpeechSeverity of illness indexClassificationFuzzy logicCNPQ::CIENCIAS DA SAUDE::FONOAUDIOLOGIAThis study aimed at proposing a quantitative classification for phonological disorder severity based on the Implicational Model of Feature Complexity IMFC (MOTA, 1996), considering Rangel s adequacies (1998). Quantification of such proposal was based on the Fuzzy modeling; to do so, a Linguistic Fuzzy Model was created, developed from a system of fuzzy rules, processed in parallel, using Mamdani s minimum inference method and the center of area defuzzification method. The Model comprehended three input variables: Path Course, Level of Complexity and Acquisition of Phonemes, described in linguistic terms to which fuzzy subsets were added (three subsets for each variable). Determination of borders followed criteria and inference based on the IMFC and on the researcher s experience. The model output variable was the Severity Phonological Disorder Index based on four fuzzy subsets: Severe, Moderate-Severe, Moderate-Mild, and Mild. The Severity Phonological Disorder Index was calculated for all 204 deviating phonological systems included in the sample using the Fuzzy Linguistic Model, run in MATLAB fuzzy toolbox (2009b). Validation of modeling was performed by evaluating severity of a representative number of phonological systems by two groups of speech and language therapists. The first, GT-I (Group of Speech and Language Therapists I), was comprised of three speech and language therapists with a doctorate in applied linguistics and experienced in disordered speech. The second, GT-II (Group of Speech and Language Therapists II), was comprised of three speech and language therapists with a master s degree in human communication disorders and experienced in disordered speech at a research laboratory. Classification of disorder severity based on the proposal was similar to that assessed by the speech and language therapists in most phonological systems under evaluation. In addition, the criteria used in the proposal were used by Group I speech and language therapists and were considered adequate by Group II. Finally, the proposal has shown to be able to quantitatively differentiate degrees as to input variables (path course, level of complexity, acquisition of phonemes), sound classes, and distinctive features. Such findings allowed the conclusion that the proposal is able to adequately classify phonological disorder severity and presents validity for the speech and language therapists; therefore, it is an important reference for clinical practice.Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorEste estudo teve como objetivo propor uma classificação quantitativa para a gravidade do desvio fonológico a partir do Modelo Implicacional de Complexidade dos Traços MICT (MOTA, 1996), considerando as adequações de Rangel (1998). A quantificação da proposta foi fundamentada na modelagem Fuzzy, para isso, criou-se um Modelo Linguístico Fuzzy, desenvolvido a partir de um sistema de regras fuzzy, processadas em paralelo, utilizando como método de inferência o Mínimo de Mamdani e como método de defuzzificação o centro de área. O Modelo englobou três variáveis de entrada: Percurso das Rotas, Nível de Complexidade e Aquisição dos Fonemas, descritas em termos linguísticos aos quais se associaram subconjuntos fuzzy (três subconjuntos para cada variável). A determinação das fronteiras seguiu critérios e inferências a partir do MICT e da experiência do pesquisador. A variável de saída do modelo foi o Índice de Gravidade do Desvio Fonológico a partir de quatro subconjuntos fuzzy: Grave, Moderado-Grave, Moderado-Leve e Leve. O Índice de Gravidade do Desvio Fonológico foi calculado para os 204 sistemas fonológicos desviantes que compuseram a amostra, através do Modelo Linguístico Fuzzy, executado no toolbox fuzzy do software MATLAB (2009b). A validação da proposta foi realizada através do julgamento da gravidade, de um número representativo de sistemas fonológicos, por dois grupos de fonoaudiólogas. O primeiro, GF-I (Grupo de Fonoaudiólogas I), composto por três fonoaudiólogas, doutoras em linguística aplicada e experientes em fala com desvio. O segundo, GF-II, (Grupo de Fonoaudiólogas II) composto por três fonoaudiólogas, mestres em distúrbios da comunicação humana e experientes em fala com desvio em laboratório de pesquisa. A classificação da gravidade do desvio a partir da proposta foi semelhante à julgada pelas fonoaudiólogas na maioria dos sistemas fonológicos avaliados. Além disso, os critérios utilizados na proposta foram utilizados pelas fonoaudiólogas do Grupo I e foram julgados adequados pelo Grupo II. Por fim, verificou-se que a proposta é capaz de diferenciar quantitativamente os graus quanto às variáveis de entrada (percurso das rotas, nível de complexidade, aquisição dos fonemas), às classes de sons e aos traços distintivos. Tais achados permitiram concluir que a proposta é capaz de classificar a gravidade do desvio fonológico adequadamente e apresenta validade para as fonoaudiólogas sendo, portanto, importante referência para a prática clínica.Universidade Federal de Santa MariaBRFonoaudiologiaUFSMPrograma de Pós-Graduação em Distúrbios da Comunicação HumanaKeske-Soares, Marciahttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4768009P6Magnago, Karine Faverzanihttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4796315T6Castanho, Maria José de Paulahttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4701555H5Souza, Ana Paula Ramos dehttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4798686A3Brancalioni, Ana Rita2010-10-112010-10-112010-07-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/pdfBRANCALIONI, Ana Rita. CLASSIFICATION PROPOSAL OF PHONOLOGICAL DISORDER SEVERITY USING FUZZY METHODOLOGY, ACCORDING TO THE IMPLICATIONAL MODEL OF FEATURE COMPLEXITY. 2010. 215 f. Dissertação (Mestrado em Fonoaudiologia) - Universidade Federal de Santa Maria, Santa Maria, 2010.http://repositorio.ufsm.br/handle/1/6484ark:/26339/001300000dww3porinfo:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2022-01-12T14:04:28Zoai:repositorio.ufsm.br:1/6484Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2022-01-12T14:04:28Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Proposta de classificação da gravidade do desvio fonológico por meio da modelagem Fuzzy, segundo o modelo implicacional de complexidade de traços
Classification proposal of phonological disorder severity using Fuzzy methodology, according to the implicational model of feature complexity
title Proposta de classificação da gravidade do desvio fonológico por meio da modelagem Fuzzy, segundo o modelo implicacional de complexidade de traços
spellingShingle Proposta de classificação da gravidade do desvio fonológico por meio da modelagem Fuzzy, segundo o modelo implicacional de complexidade de traços
Brancalioni, Ana Rita
Distúrbio da fala
Fala
Índice de gravidade de doença
Classificação
Lógica fuzzy
Speech disorders
Speech
Severity of illness index
Classification
Fuzzy logic
CNPQ::CIENCIAS DA SAUDE::FONOAUDIOLOGIA
title_short Proposta de classificação da gravidade do desvio fonológico por meio da modelagem Fuzzy, segundo o modelo implicacional de complexidade de traços
title_full Proposta de classificação da gravidade do desvio fonológico por meio da modelagem Fuzzy, segundo o modelo implicacional de complexidade de traços
title_fullStr Proposta de classificação da gravidade do desvio fonológico por meio da modelagem Fuzzy, segundo o modelo implicacional de complexidade de traços
title_full_unstemmed Proposta de classificação da gravidade do desvio fonológico por meio da modelagem Fuzzy, segundo o modelo implicacional de complexidade de traços
title_sort Proposta de classificação da gravidade do desvio fonológico por meio da modelagem Fuzzy, segundo o modelo implicacional de complexidade de traços
author Brancalioni, Ana Rita
author_facet Brancalioni, Ana Rita
author_role author
dc.contributor.none.fl_str_mv Keske-Soares, Marcia
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4768009P6
Magnago, Karine Faverzani
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4796315T6
Castanho, Maria José de Paula
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4701555H5
Souza, Ana Paula Ramos de
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4798686A3
dc.contributor.author.fl_str_mv Brancalioni, Ana Rita
dc.subject.por.fl_str_mv Distúrbio da fala
Fala
Índice de gravidade de doença
Classificação
Lógica fuzzy
Speech disorders
Speech
Severity of illness index
Classification
Fuzzy logic
CNPQ::CIENCIAS DA SAUDE::FONOAUDIOLOGIA
topic Distúrbio da fala
Fala
Índice de gravidade de doença
Classificação
Lógica fuzzy
Speech disorders
Speech
Severity of illness index
Classification
Fuzzy logic
CNPQ::CIENCIAS DA SAUDE::FONOAUDIOLOGIA
description This study aimed at proposing a quantitative classification for phonological disorder severity based on the Implicational Model of Feature Complexity IMFC (MOTA, 1996), considering Rangel s adequacies (1998). Quantification of such proposal was based on the Fuzzy modeling; to do so, a Linguistic Fuzzy Model was created, developed from a system of fuzzy rules, processed in parallel, using Mamdani s minimum inference method and the center of area defuzzification method. The Model comprehended three input variables: Path Course, Level of Complexity and Acquisition of Phonemes, described in linguistic terms to which fuzzy subsets were added (three subsets for each variable). Determination of borders followed criteria and inference based on the IMFC and on the researcher s experience. The model output variable was the Severity Phonological Disorder Index based on four fuzzy subsets: Severe, Moderate-Severe, Moderate-Mild, and Mild. The Severity Phonological Disorder Index was calculated for all 204 deviating phonological systems included in the sample using the Fuzzy Linguistic Model, run in MATLAB fuzzy toolbox (2009b). Validation of modeling was performed by evaluating severity of a representative number of phonological systems by two groups of speech and language therapists. The first, GT-I (Group of Speech and Language Therapists I), was comprised of three speech and language therapists with a doctorate in applied linguistics and experienced in disordered speech. The second, GT-II (Group of Speech and Language Therapists II), was comprised of three speech and language therapists with a master s degree in human communication disorders and experienced in disordered speech at a research laboratory. Classification of disorder severity based on the proposal was similar to that assessed by the speech and language therapists in most phonological systems under evaluation. In addition, the criteria used in the proposal were used by Group I speech and language therapists and were considered adequate by Group II. Finally, the proposal has shown to be able to quantitatively differentiate degrees as to input variables (path course, level of complexity, acquisition of phonemes), sound classes, and distinctive features. Such findings allowed the conclusion that the proposal is able to adequately classify phonological disorder severity and presents validity for the speech and language therapists; therefore, it is an important reference for clinical practice.
publishDate 2010
dc.date.none.fl_str_mv 2010-10-11
2010-10-11
2010-07-02
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv BRANCALIONI, Ana Rita. CLASSIFICATION PROPOSAL OF PHONOLOGICAL DISORDER SEVERITY USING FUZZY METHODOLOGY, ACCORDING TO THE IMPLICATIONAL MODEL OF FEATURE COMPLEXITY. 2010. 215 f. Dissertação (Mestrado em Fonoaudiologia) - Universidade Federal de Santa Maria, Santa Maria, 2010.
http://repositorio.ufsm.br/handle/1/6484
dc.identifier.dark.fl_str_mv ark:/26339/001300000dww3
identifier_str_mv BRANCALIONI, Ana Rita. CLASSIFICATION PROPOSAL OF PHONOLOGICAL DISORDER SEVERITY USING FUZZY METHODOLOGY, ACCORDING TO THE IMPLICATIONAL MODEL OF FEATURE COMPLEXITY. 2010. 215 f. Dissertação (Mestrado em Fonoaudiologia) - Universidade Federal de Santa Maria, Santa Maria, 2010.
ark:/26339/001300000dww3
url http://repositorio.ufsm.br/handle/1/6484
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
BR
Fonoaudiologia
UFSM
Programa de Pós-Graduação em Distúrbios da Comunicação Humana
publisher.none.fl_str_mv Universidade Federal de Santa Maria
BR
Fonoaudiologia
UFSM
Programa de Pós-Graduação em Distúrbios da Comunicação Humana
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
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