Designing Fuzzy Expert System to Identify Child Intelligence

Every child is special and has her/his own unique potential. Identifying child’s potential in early age is important for teaching purpose since every child has difference intelligence and interest. Therefore children’s teaching and learning process should be delivered based on child’s interest and intelligence, instead of forcing children to excel in every subject. We propose our research to identify child’s intelligence by designing fuzzy expert system. The system works based on several input data of children’s multiple intelligences. The fuzzy expert system is developed using 25 input variables and resulted in 9 output variables. The system classifies the result based on 9 types of intelligence in human, where each exhibits different level. We produce 81 rules with fuzzy set of three different levels value (high, moderate, or low) for every kind of intelligence. The result of this research is very useful to help parents and teachers for determining their method of teaching based on children’s potential

Improving Computer Based Speech Therapy Using a Fuzzy Expert System

In this paper we present our work about Computer Based Speech Therapy systems optimization. We focus especially on using a fuzzy expert system in order to determine specific parameters of personalized therapy, i.e. the number, length and content of training sessions. The efficiency of this new approach was tested during an experiment performed with our CBST, named LOGOMON

Validation of a fuzzy linguistic model to classify the severity of phonological disorder

PURPOSE: to check if the criteria adopted from the Fuzzy Linguistic Model to classify the severity of Phonological Disorder (PD) are employed in the practice of speech and language therapists and whether they are in conformity with the purpose of such model. It is furthermore intended to analyze the acquiescence between PD severity classified by the Model and the one deemed by speech and language therapists and check the main difficulties. METHOD: the study included two samples. The first one was comprised of a representative number of deviating phonological systems (n=52) and classified by the Model when it was proposed. The second one comprised two groups of speech and language therapists GF-I and GF-II. The speech and language therapists were asked to deem the severity of deviating in phonological systems, mapped in the Implicational Model of Feature Complexity - MICT as Severe, Moderate-Severe, Moderate-Mild, and Mild. Next, criteria and main difficulties were described in a questionnaire. Kappa statistics was used, with a significance level of p<0.05. RESULTS: the criteria used in the proposal were generally used by GF-I and considered as adequate by GF-II. There was an acquiescence between classification of severity obtained by the Model and the one deemed by the speech and language therapists. The most frequently reported difficulty was distinguishing between intermediate degrees. CONCLUSIONS: the Fuzzy Linguistic Model criteria are used to classify PD severity when based on MICT. Furthermore, the criteria are in acquiescence with the purpose of the Model. Due to the difficulties, other forms of classifying severity can be added in order to characterize PD over other major aspects.OBJETIVO: verificar se os critérios adotados no Modelo Linguístico Fuzzy, para classificar a gravidade do Desvio Fonológico (DF), são empregados na prática fonoaudiológica e se estão de acordo com a finalidade do Modelo. Além disso, analisar a concordância entre a gravidade do DF classificada pelo Modelo e a julgada por fonoaudiólogas, bem como, verificar as principais dificuldades. MÉTODO: a pesquisa foi constituída por duas amostras. A primeira composta por um número representativo de sistemas fonológicos desviantes (n=52) classificados pelo Modelo quando o mesmo foi proposto. A segunda por dois grupos de fonoaudiólogas GF-I e GF-II. Foi solicitado que as fonoaudiólogas julgassem a gravidade dos sistemas fonológicos desviantes, mapeados no Modelo Implicacional de Complexidade de Traços - MICT, em Grave, Moderado-Grave, Moderado-Leve e Leve. Em seguida os critérios e as principais dificuldades foram descritas em um questionário. Empregou-se a Estatística Kappa, com nível de significância de p<0,05. RESULTADOS: os critérios utilizados na proposta, em geral, foram utilizados pelo GF-I e julgados adequados pelo GF-II. Verificou-se concordância entre a classificação da gravidade obtida pelo Modelo com a julgada pelas fonoaudiólogas. Quanto às dificuldades, a frequentemente relatada foi diferenciar graus intermediários. CONCLUSÕES: os critérios utilizados no Modelo Linguístico Fuzzy são empregados para classificar a gravidade do DF quando realizada com base no MICT. Além disso, os critérios empregados estão de acordo, cumprindo com a finalidade do Modelo. Diante das dificuldades, outras formas de classificar a gravidade podem ser agregadas a fim de caracterizar o DF sobre outros aspectos importantes.44845

Review of prognostic factors for esophageal voice

Plan A of this study was completed. Plan B of the study is the subject for future research. A review of the laryngectomy literature, from the earliest mention of the laryngectomy surgical procedure to the present was conducted; with specific emphasis upon factors pertinent to laryngectomee rehabilitation and esophageal speech development. Psychological, idiosyncratic, social, therapeutic and physiological factors were reported as affecting esophageal voice development. There were a great diversity of variables that might be predictive in judging acquisition of esophageal voice. However, much of the information regarding predictive variables was based on subjective reports, poorly controlled statistical research, or insignificant correlations. A Preliminary Esophageal Voice Checklist was developed to provide a systematic survey of variables frequently reported in the literature as affecting esophageal voice development. A proposal for experimental study, Plan B, was made for development of a pre-intervention assessment tool. Such a tool would allow the clinician to judge a laryngectomee\u27s potential for esophageal development or an alternate form of communication. [Keywords: Alaryngeal speech; Esophageal speech or voice; Esophagus; Laryngectomee; Laryngectomy; Larynx