Sistema experto basado en reglas para la recomendación de puestos laborales a personas con discapacidad considerando evaluación funcional, formación académica y competencias laborales

Ángel Pérez Muñóz; Verónica Uruchima Juca; Monica Rodas-Tobar; María de Lourdes Cedillo Armijos; Vladimir Robles-Bykbaev

Sistema experto basado en reglas para la recomendación de puestos laborales a personas con discapacidad considerando evaluación funcional, formación académica y competencias laborales

Translated title of the contribution: Expert system based on rules for the recommendation of job positions to people with disabilities considering functional evaluation, academic training and job skills

Ángel Pérez Muñóz, Verónica Uruchima Juca, Monica Rodas-Tobar, María de Lourdes Cedillo Armijos, Vladimir Robles-Bykbaev

Artificial Intelligence and Assistive Technologies Research Group (GI-IATa)

Research output: Contribution to journal › Article › peer-review

Abstract

Worldwide, 15% of the population has some type of disability, many of them do not have a job or it is not in accordance with their abilities, despite having an academic background. This article proposes an expert system for the recommendation of job positions according to the profile of the person with disabilities, their academic training, functional evaluation through the Questionnaire for the Evaluation of Disability of the World Health Organization (WHODAS) and its labor competencies. The recommended positions are based on a study by a multidisciplinary team in the industry of the city of Cuenca-Ecuador.

Translated title of the contribution	Expert system based on rules for the recommendation of job positions to people with disabilities considering functional evaluation, academic training and job skills
Original language	Spanish
Pages (from-to)	272-285
Number of pages	14
Journal	RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Volume	2023
Issue number	E57
State	Published - 2023

Bibliographical note

Publisher Copyright:
© 2023, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

Cite this

Pérez Muñóz, Á., Uruchima Juca, V., Rodas-Tobar, M., Cedillo Armijos, M. D. L., & Robles-Bykbaev, V. (2023). Sistema experto basado en reglas para la recomendación de puestos laborales a personas con discapacidad considerando evaluación funcional, formación académica y competencias laborales. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2023(E57), 272-285.

Pérez Muñóz, Ángel ; Uruchima Juca, Verónica ; Rodas-Tobar, Monica et al. / Sistema experto basado en reglas para la recomendación de puestos laborales a personas con discapacidad considerando evaluación funcional, formación académica y competencias laborales. In: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao. 2023 ; Vol. 2023, No. E57. pp. 272-285.

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abstract = "Worldwide, 15% of the population has some type of disability, many of them do not have a job or it is not in accordance with their abilities, despite having an academic background. This article proposes an expert system for the recommendation of job positions according to the profile of the person with disabilities, their academic training, functional evaluation through the Questionnaire for the Evaluation of Disability of the World Health Organization (WHODAS) and its labor competencies. The recommended positions are based on a study by a multidisciplinary team in the industry of the city of Cuenca-Ecuador.",

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Pérez Muñóz, Á, Uruchima Juca, V, Rodas-Tobar, M, Cedillo Armijos, MDL & Robles-Bykbaev, V 2023, 'Sistema experto basado en reglas para la recomendación de puestos laborales a personas con discapacidad considerando evaluación funcional, formación académica y competencias laborales', RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2023, no. E57, pp. 272-285.

Sistema experto basado en reglas para la recomendación de puestos laborales a personas con discapacidad considerando evaluación funcional, formación académica y competencias laborales. / Pérez Muñóz, Ángel; Uruchima Juca, Verónica; Rodas-Tobar, Monica et al.
In: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, Vol. 2023, No. E57, 2023, p. 272-285.

Research output: Contribution to journal › Article › peer-review

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AU - Pérez Muñóz, Ángel

AU - Uruchima Juca, Verónica

AU - Rodas-Tobar, Monica

AU - Cedillo Armijos, María de Lourdes

AU - Robles-Bykbaev, Vladimir

PY - 2023

Y1 - 2023

N2 - Worldwide, 15% of the population has some type of disability, many of them do not have a job or it is not in accordance with their abilities, despite having an academic background. This article proposes an expert system for the recommendation of job positions according to the profile of the person with disabilities, their academic training, functional evaluation through the Questionnaire for the Evaluation of Disability of the World Health Organization (WHODAS) and its labor competencies. The recommended positions are based on a study by a multidisciplinary team in the industry of the city of Cuenca-Ecuador.

AB - Worldwide, 15% of the population has some type of disability, many of them do not have a job or it is not in accordance with their abilities, despite having an academic background. This article proposes an expert system for the recommendation of job positions according to the profile of the person with disabilities, their academic training, functional evaluation through the Questionnaire for the Evaluation of Disability of the World Health Organization (WHODAS) and its labor competencies. The recommended positions are based on a study by a multidisciplinary team in the industry of the city of Cuenca-Ecuador.

KW - disability

KW - Expert system

KW - labor inclusion

KW - position

KW - recommendation

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JO - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

JF - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

IS - E57

ER -

Sistema experto basado en reglas para la recomendación de puestos laborales a personas con discapacidad considerando evaluación funcional, formación académica y competencias laborales

Abstract

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