Communications in computer and information science, 2018
The purpose of this paper is to show that it is possible to describe stress levels through a comp... more The purpose of this paper is to show that it is possible to describe stress levels through a complete time-log analysis. For this purpose it has been developed a fuzzy deformable prototypes based model that uses a fuzzy representation of the prototypical situations. The proposed model has been applied to a database composed of time logs from students with and without stress. Preliminary results from the proposed model application have been validated by experts. Moreover, the model has been applied as a classifier obtaining good results for both sensitivity and specificity. Finally, the proposal has been validated and should be considered useful for the expert systems design to support the stress level description.
AbstractDue to the Internet, new ways to access to and manage health care information are contin... more AbstractDue to the Internet, new ways to access to and manage health care information are continuously appearing. All of them allow that data stores can grow with more and more data, which has not always the adequate levels of quality. Manage such amount of data ...
International Journal of Intelligent Systems, Aug 27, 2021
The process to assess a hospital performance usually needs the interaction of a lot of experts an... more The process to assess a hospital performance usually needs the interaction of a lot of experts and patients and is very costly and time‐consuming. Nevertheless, the availability of patient opinions on the Internet offers a great opportunity to develop systems that evaluate hospitals based on user feedback. The content of these opinions is very challenging, including information about the hospital services but also stories about their own patients, their families, and personal feelings or beliefs before or after leaving a hospital. Therefore, the task of recommending hospitals according to the quality of their services becomes really complicated. This study describes an application for ranking hospitals based on the user preferences about the different offered services as well as the opinions about them. First, it semiautomatically classifies all predefined hospital aspects, calculates the sentiment orientation, and represents their associated polarity by intuitionistic fuzzy sets. Second, by means of the user preferences towards the different aspects, an aggregation operator, and a multicriteria decision‐making algorithm, all hospitals are ranked. To assess this methodology, a large set of reviews about hospitals have been collected. Further, considering all patient ratings about the different hospitals, an algorithm for ranking them is proposed, which develops baselines for comparison. In addition, an interval‐valued Pythagorean fuzzy approach has been also implemented to compare the obtained results. These results confirm the soundness of the proposal.
Nowadays, the impact of e-Learning developments on improving educational activities is becoming m... more Nowadays, the impact of e-Learning developments on improving educational activities is becoming more evident. The Portfolio approach has emerged as important alternative to increase the learning process. However, most of tools to support portfolio assessment are far from to come up to the expectations. In this work we propose a fuzzy ontology-based framework to support portfolio assessment. Our approach focuses on portfolio semantic representation and conceptual matching to generate a portfolio evaluation report, which helps teachers in portfolio assessment tasks. The initial experiments results indicate that the approach is useful and warrants further research.
Communications in computer and information science, 2018
For the ideal functioning of an intelligent tutoring system it is essential to be able to estimat... more For the ideal functioning of an intelligent tutoring system it is essential to be able to estimate the level of skill of the students according to complex learning objectives. We propose an architecture for the evaluation of the student’s skill level, based on the multi-attribute utility theory, using as aggregation operator the Choquet integral. The method takes into account the learning objectives raised by the decision maker (academics, school teachers, heads of institutions, etc.) represented by complex relationships that can be found among the criteria considered for the evaluation.
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017
Inliers and Outliers are widely studied in the world of databases. In the early 80's, L. A. Z... more Inliers and Outliers are widely studied in the world of databases. In the early 80's, L. A. Zadeh proposed an interesting approach to the concept of ‘prototype’ which contrasts with the classical theories of prototypes from the field of cognitive psychology. This definition has not been used much in fuzzy scientific proposals. Metasearch engines are often designed and used for Information Retrieval tasks because they are cheap and easy to develop, as they get their results from multiple search engines. In this paper, a definition of Inliers and Outliers is presented and related to Zadeh's concept of fuzzy prototype: Inliers with the prototype of the borderline elements and Outliers with the prototype of the bad elements of a dataset. Then, this approach is used for dealing with the User Profiles in a real Scientific Metasearcher with the aim of proposing recommendations, sending warnings and in general enriching the management of these User Profiles. An example and experiments proposal in this real system are also presented.
espanolLa generacion automatica de resumenes consiste en sintetizar en un texto corto la informac... more espanolLa generacion automatica de resumenes consiste en sintetizar en un texto corto la informacion mas relevante contenida en documentos, y permite reducir los problemas generados por la sobrecarga de informacion. En este trabajo se presenta un metodo no supervisado de generacion de resumenes extractivos a partir de multiples documentos. En esta propuesta, la conceptualizacion y estructura semantica subyacente del contenido textual se representa en un grafo semantico usando WordNet y se aplica un algoritmo de agrupamiento de conceptos para identificar los topicos tratados en los documentos, con los cuales se evalua la relevancia de las oraciones para construir el resumen. El metodo fue evaluado con corpus de textos de MultiLing 2015, y se usaron metricas de ROUGE para medir la calidad de los resumenes generados. Los resultados obtenidos se compararon con los de otros sistemas participantes en MultiLing 2015, evidenciandose mejoras en la mayoria de los casos. | EnglishThe automatic...
Este trabajo ha sido parcialmente financiado por el Fondo Europeo de Desarrollo Regional (FEDER),... more Este trabajo ha sido parcialmente financiado por el Fondo Europeo de Desarrollo Regional (FEDER), la Junta de Extremadura (GR18135), y el Ministerio de Ciencia, Innovacion y Universidades de Espana, a traves del proyecto SAFER (PID2019-104735RB-C42).
2020 IEEE Congreso Bienal de Argentina (ARGENCON), 2020
This article presents an overview of emotional recognition of music (MER) through the fuzzy logic... more This article presents an overview of emotional recognition of music (MER) through the fuzzy logic approach. First, related papers are reviewed to analyze how fuzzy logic is used in each phase of a typical MER process. Subsequently, a prototype of a fuzzy system is designed to classify musical pieces by arousal levels, defining the tempo of the songs as the system’s input and the level of arousal as the output. Based on the review of the literature and the results obtained with the fuzzy system prototype, a discussion is presented to improve the understanding of the main differences between classification systems with fuzzy logic or with machine learning approaches, focusing on the success rate of MER, especially in the labeling and classification processes. This review and the comparison of both approaches (fuzzy logic and machine learning) reveal fuzzy logic’s principal contributions, expand the knowledge of the current developments in MER and present possible improvements for the design of MER systems.
Communications in computer and information science, 2018
The purpose of this paper is to show that it is possible to describe stress levels through a comp... more The purpose of this paper is to show that it is possible to describe stress levels through a complete time-log analysis. For this purpose it has been developed a fuzzy deformable prototypes based model that uses a fuzzy representation of the prototypical situations. The proposed model has been applied to a database composed of time logs from students with and without stress. Preliminary results from the proposed model application have been validated by experts. Moreover, the model has been applied as a classifier obtaining good results for both sensitivity and specificity. Finally, the proposal has been validated and should be considered useful for the expert systems design to support the stress level description.
AbstractDue to the Internet, new ways to access to and manage health care information are contin... more AbstractDue to the Internet, new ways to access to and manage health care information are continuously appearing. All of them allow that data stores can grow with more and more data, which has not always the adequate levels of quality. Manage such amount of data ...
International Journal of Intelligent Systems, Aug 27, 2021
The process to assess a hospital performance usually needs the interaction of a lot of experts an... more The process to assess a hospital performance usually needs the interaction of a lot of experts and patients and is very costly and time‐consuming. Nevertheless, the availability of patient opinions on the Internet offers a great opportunity to develop systems that evaluate hospitals based on user feedback. The content of these opinions is very challenging, including information about the hospital services but also stories about their own patients, their families, and personal feelings or beliefs before or after leaving a hospital. Therefore, the task of recommending hospitals according to the quality of their services becomes really complicated. This study describes an application for ranking hospitals based on the user preferences about the different offered services as well as the opinions about them. First, it semiautomatically classifies all predefined hospital aspects, calculates the sentiment orientation, and represents their associated polarity by intuitionistic fuzzy sets. Second, by means of the user preferences towards the different aspects, an aggregation operator, and a multicriteria decision‐making algorithm, all hospitals are ranked. To assess this methodology, a large set of reviews about hospitals have been collected. Further, considering all patient ratings about the different hospitals, an algorithm for ranking them is proposed, which develops baselines for comparison. In addition, an interval‐valued Pythagorean fuzzy approach has been also implemented to compare the obtained results. These results confirm the soundness of the proposal.
Nowadays, the impact of e-Learning developments on improving educational activities is becoming m... more Nowadays, the impact of e-Learning developments on improving educational activities is becoming more evident. The Portfolio approach has emerged as important alternative to increase the learning process. However, most of tools to support portfolio assessment are far from to come up to the expectations. In this work we propose a fuzzy ontology-based framework to support portfolio assessment. Our approach focuses on portfolio semantic representation and conceptual matching to generate a portfolio evaluation report, which helps teachers in portfolio assessment tasks. The initial experiments results indicate that the approach is useful and warrants further research.
Communications in computer and information science, 2018
For the ideal functioning of an intelligent tutoring system it is essential to be able to estimat... more For the ideal functioning of an intelligent tutoring system it is essential to be able to estimate the level of skill of the students according to complex learning objectives. We propose an architecture for the evaluation of the student’s skill level, based on the multi-attribute utility theory, using as aggregation operator the Choquet integral. The method takes into account the learning objectives raised by the decision maker (academics, school teachers, heads of institutions, etc.) represented by complex relationships that can be found among the criteria considered for the evaluation.
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017
Inliers and Outliers are widely studied in the world of databases. In the early 80's, L. A. Z... more Inliers and Outliers are widely studied in the world of databases. In the early 80's, L. A. Zadeh proposed an interesting approach to the concept of ‘prototype’ which contrasts with the classical theories of prototypes from the field of cognitive psychology. This definition has not been used much in fuzzy scientific proposals. Metasearch engines are often designed and used for Information Retrieval tasks because they are cheap and easy to develop, as they get their results from multiple search engines. In this paper, a definition of Inliers and Outliers is presented and related to Zadeh's concept of fuzzy prototype: Inliers with the prototype of the borderline elements and Outliers with the prototype of the bad elements of a dataset. Then, this approach is used for dealing with the User Profiles in a real Scientific Metasearcher with the aim of proposing recommendations, sending warnings and in general enriching the management of these User Profiles. An example and experiments proposal in this real system are also presented.
espanolLa generacion automatica de resumenes consiste en sintetizar en un texto corto la informac... more espanolLa generacion automatica de resumenes consiste en sintetizar en un texto corto la informacion mas relevante contenida en documentos, y permite reducir los problemas generados por la sobrecarga de informacion. En este trabajo se presenta un metodo no supervisado de generacion de resumenes extractivos a partir de multiples documentos. En esta propuesta, la conceptualizacion y estructura semantica subyacente del contenido textual se representa en un grafo semantico usando WordNet y se aplica un algoritmo de agrupamiento de conceptos para identificar los topicos tratados en los documentos, con los cuales se evalua la relevancia de las oraciones para construir el resumen. El metodo fue evaluado con corpus de textos de MultiLing 2015, y se usaron metricas de ROUGE para medir la calidad de los resumenes generados. Los resultados obtenidos se compararon con los de otros sistemas participantes en MultiLing 2015, evidenciandose mejoras en la mayoria de los casos. | EnglishThe automatic...
Este trabajo ha sido parcialmente financiado por el Fondo Europeo de Desarrollo Regional (FEDER),... more Este trabajo ha sido parcialmente financiado por el Fondo Europeo de Desarrollo Regional (FEDER), la Junta de Extremadura (GR18135), y el Ministerio de Ciencia, Innovacion y Universidades de Espana, a traves del proyecto SAFER (PID2019-104735RB-C42).
2020 IEEE Congreso Bienal de Argentina (ARGENCON), 2020
This article presents an overview of emotional recognition of music (MER) through the fuzzy logic... more This article presents an overview of emotional recognition of music (MER) through the fuzzy logic approach. First, related papers are reviewed to analyze how fuzzy logic is used in each phase of a typical MER process. Subsequently, a prototype of a fuzzy system is designed to classify musical pieces by arousal levels, defining the tempo of the songs as the system’s input and the level of arousal as the output. Based on the review of the literature and the results obtained with the fuzzy system prototype, a discussion is presented to improve the understanding of the main differences between classification systems with fuzzy logic or with machine learning approaches, focusing on the success rate of MER, especially in the labeling and classification processes. This review and the comparison of both approaches (fuzzy logic and machine learning) reveal fuzzy logic’s principal contributions, expand the knowledge of the current developments in MER and present possible improvements for the design of MER systems.
Uploads
Papers by Jose Olivas