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Sergio Alonso
Department of Software Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain

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Journal article
Published: 27 May 2021 in Sustainability
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The United Nations Agenda 2030 established 17 Sustainable Development Goals (SDGs) as a guideline to guarantee a sustainable worldwide development. Recent advances in artificial intelligence and other digital technologies have already changed several areas of modern society, and they could be very useful to reach these sustainable goals. In this paper we propose a novel decision making model based on surveys that ranks recommendations on the use of different artificial intelligence and related technologies to achieve the SDGs. According to the surveys, our decision making method is able to determine which of these technologies are worth investing in to lead new research to successfully tackle with sustainability challenges.

ACS Style

Sergio Alonso; Rosana Montes; Daniel Molina; Iván Palomares; Eugenio Martínez-Cámara; Manuel Chiachio; Juan Chiachio; Francisco Melero; Pablo García-Moral; Bárbara Fernández; Cristina Moral; Rosario Marchena; Javier Pérez de Vargas; Francisco Herrera. Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys. Sustainability 2021, 13, 6038 .

AMA Style

Sergio Alonso, Rosana Montes, Daniel Molina, Iván Palomares, Eugenio Martínez-Cámara, Manuel Chiachio, Juan Chiachio, Francisco Melero, Pablo García-Moral, Bárbara Fernández, Cristina Moral, Rosario Marchena, Javier Pérez de Vargas, Francisco Herrera. Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys. Sustainability. 2021; 13 (11):6038.

Chicago/Turabian Style

Sergio Alonso; Rosana Montes; Daniel Molina; Iván Palomares; Eugenio Martínez-Cámara; Manuel Chiachio; Juan Chiachio; Francisco Melero; Pablo García-Moral; Bárbara Fernández; Cristina Moral; Rosario Marchena; Javier Pérez de Vargas; Francisco Herrera. 2021. "Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys." Sustainability 13, no. 11: 6038.

Journal article
Published: 07 October 2020 in Mathematics
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Nowadays, wine has become a very popular item to purchase. There are a lot of brands and a lot of different types of wines that have different prices and characteristics. Since there is a lot of options, it is easy for buyers to feel lost among the high number of possibilities. Therefore, there is a need for computational tools that help buyers to decide which is the wine that better fits their necessities. In this article, a decision support system built over a fuzzy ontology has been designed for helping people to select a wine. Two different possible architecture implementation designs are presented. Furthermore, imprecise information is used to design a comfortable way of providing information to the system. Users can use this comfortable communication system to express their preferences and provide their opinion about the selected products. Moreover, mechanisms to carry out a constant update of the fuzzy ontology are exposed.

ACS Style

Juan Antonio Morente-Molinera; Francisco Javier Cabrerizo; Sergio Alonso; Ignacio Javier Pérez; Enrique Herrera-Viedma. Assisting Users in Decisions Using Fuzzy Ontologies: Application in the Wine Market. Mathematics 2020, 8, 1724 .

AMA Style

Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo, Sergio Alonso, Ignacio Javier Pérez, Enrique Herrera-Viedma. Assisting Users in Decisions Using Fuzzy Ontologies: Application in the Wine Market. Mathematics. 2020; 8 (10):1724.

Chicago/Turabian Style

Juan Antonio Morente-Molinera; Francisco Javier Cabrerizo; Sergio Alonso; Ignacio Javier Pérez; Enrique Herrera-Viedma. 2020. "Assisting Users in Decisions Using Fuzzy Ontologies: Application in the Wine Market." Mathematics 8, no. 10: 1724.

Conference paper
Published: 04 September 2020 in Transactions on Petri Nets and Other Models of Concurrency XV
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Group Decision Making environments have completely changed. The number of information that the experts have available and that, therefore, they can use to discuss about is constantly increasing. There is a need of new Group Decision Making methods, like the one developed in this paper, that are capable of dealing with environments where the number of alternatives is high. In this paper, clustering methods are used in order to sort alternatives in categories and help experts in the task of making a decision.

ACS Style

J. A. Morente-Molinera; S. Alonso; S. Ríos-Aguilar; R. González; E. Herrera-Viedma. Managing Situations with High Number of Elements in Group Decision Making. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 926 -931.

AMA Style

J. A. Morente-Molinera, S. Alonso, S. Ríos-Aguilar, R. González, E. Herrera-Viedma. Managing Situations with High Number of Elements in Group Decision Making. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; ():926-931.

Chicago/Turabian Style

J. A. Morente-Molinera; S. Alonso; S. Ríos-Aguilar; R. González; E. Herrera-Viedma. 2020. "Managing Situations with High Number of Elements in Group Decision Making." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 926-931.

Journal article
Published: 11 June 2020 in Revista Española de Documentación Científica
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Los objetivos de este artículo son cuatro: analizar las principales diferencias en torno a las dimensiones mejor valoradas de tres estudios sobre satisfacción de personas usuarias basados en LibQUAL+® llevados a cabo en bibliotecas universitarias de España, Argentina y Chile; analizar las diferencias atendiendo a la variable de género (hombres y muje­res); determinar si las diferencias en cuanto a género son estadísticamente significativas; y discutir y reflexionar sobre los resultados hallados en el ámbito concreto de las bibliotecas como reflejo de la realidad social en general. Los resultados per­miten concluir que en España las personas usuarias están menos satisfechas con la dimensión de la biblioteca como espacio, mientras que en Latinoamericana se percibe menor grado de satisfacción también con el control de la información. El mayor grado de satisfacción en todos los estudios se da en el valor afectivo del servicio. Las mujeres en España muestran menor satisfacción y mayor exigencia que los hombres en el valor afectivo del servicio. Además, se hallaron diferencias estadísti­camente significativas en el análisis de las medias por género. En la discusión se ponen en relación los resultados hallados con la literatura existente, definiendo los paradigmas posibles de la biblioteca informativa frente al de la social-creadora y la percepción de la satisfacción por géneros según el contexto social en que se hallan las bibliotecas. La limitación principal del artículo es que se basa en tres estudios concretos; y su principal valor y originalidad, que puede considerarse como punto de partida para futuras investigaciones sobre la cuestión de género en lo que a bibliotecas y los servicios que ofrecen se refiere.

ACS Style

Pedro Lázaro-Rodríguez; Javier López-Gijón; Sergio Alonso; Enrique Herrera-Viedma. Actualidad en estudios LibQUAL+®: paradigmas de la biblioteca informativa y social-creadora y cuestión de género como reflejos de la realidad social. Revista Española de Documentación Científica 2020, 43, 264 .

AMA Style

Pedro Lázaro-Rodríguez, Javier López-Gijón, Sergio Alonso, Enrique Herrera-Viedma. Actualidad en estudios LibQUAL+®: paradigmas de la biblioteca informativa y social-creadora y cuestión de género como reflejos de la realidad social. Revista Española de Documentación Científica. 2020; 43 (2):264.

Chicago/Turabian Style

Pedro Lázaro-Rodríguez; Javier López-Gijón; Sergio Alonso; Enrique Herrera-Viedma. 2020. "Actualidad en estudios LibQUAL+®: paradigmas de la biblioteca informativa y social-creadora y cuestión de género como reflejos de la realidad social." Revista Española de Documentación Científica 43, no. 2: 264.

Conference paper
Published: 31 August 2017 in Advances in Intelligent Systems and Computing
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In a group decision making problem the selection process is decisive to find a solution. In these problems there is a widespread agreement to use fuzzy preference relations to express different preferences about possible alternatives. Previous papers have proposed different selection methods in this context. An usual way is the use of a ranking method to obtain a classification of the alternatives. One of the methods used is based on two choice degrees: quantifier guided dominance degree and quantifier guided non-dominance degree. This paper presents a limited comparative study about the application of the two previously cited quantifier guided choice degrees. By using statistical tools, it is concluded that both choice degrees can offer significantly different rankings of alternatives. In addition, it has been observed that the variability of the alternatives in the ranking obtained by dominance choice degree is generally greater, which may facilitate a better discrimination between different alternatives.

ACS Style

J. M. Tapia; M. J. del Moral; S. Alonso; E. Herrera-Viedma. A Statistical Study for Quantifier-Guided Dominance and Non-Dominance Degrees for the Selection of Alternatives in Group Decision Making Problems. Advances in Intelligent Systems and Computing 2017, 383 -392.

AMA Style

J. M. Tapia, M. J. del Moral, S. Alonso, E. Herrera-Viedma. A Statistical Study for Quantifier-Guided Dominance and Non-Dominance Degrees for the Selection of Alternatives in Group Decision Making Problems. Advances in Intelligent Systems and Computing. 2017; ():383-392.

Chicago/Turabian Style

J. M. Tapia; M. J. del Moral; S. Alonso; E. Herrera-Viedma. 2017. "A Statistical Study for Quantifier-Guided Dominance and Non-Dominance Degrees for the Selection of Alternatives in Group Decision Making Problems." Advances in Intelligent Systems and Computing , no. : 383-392.

Journal article
Published: 05 September 2012 in Applied Soft Computing
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Web 2.0 communities are a quite recent phenomenon which involve large numbers of users and where communication between members is carried out in real time. Despite of those good characteristics, there is still a necessity of developing tools to help users to reach decisions with a high level of consensus in those new virtual environments. In this contribution a new consensus reaching model is presented which uses linguistic preferences and is designed to minimize the main problems that this kind of organization presents (low and intermittent participation rates, difficulty of establishing trust relations and so on) while incorporating the benefits that a Web 2.0 community offers (rich and diverse knowledge due to a large number of users, real-time communication, etc.). The model includes some delegation and feedback mechanisms to improve the speed of the process and its convergence towards a solution of consensus. Its possible application to some of the decision making processes that are carried out in the Wikipedia is also shown.

ACS Style

S. Alonso; I.J. Pérez; F.J. Cabrerizo; E. Herrera-Viedma. A linguistic consensus model for Web 2.0 communities. Applied Soft Computing 2012, 13, 149 -157.

AMA Style

S. Alonso, I.J. Pérez, F.J. Cabrerizo, E. Herrera-Viedma. A linguistic consensus model for Web 2.0 communities. Applied Soft Computing. 2012; 13 (1):149-157.

Chicago/Turabian Style

S. Alonso; I.J. Pérez; F.J. Cabrerizo; E. Herrera-Viedma. 2012. "A linguistic consensus model for Web 2.0 communities." Applied Soft Computing 13, no. 1: 149-157.

Book chapter
Published: 01 January 2011 in Soft Computing Applications for Group Decision-making and Consensus Modeling
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In Group Decision Making (GDM) the automatic consensus models are guided by different consensus measures which usually are obtained by aggregating similarities observed among experts’ opinions. Most GDM problems based on linguistic approaches use symmetrically and uniformly distributed linguistic term sets to express experts’ opinions.However, there exist problemswhose assessments need to be represented by means of unbalanced linguistic term sets, i.e., using term sets which are not uniformly and symmetrically distributed. The aim of this paper is to present different Linguistic OWA Operators to compute the consensus measures in consensusmodels for GDMproblems with unbalanced fuzzy linguistic information.

ACS Style

E. Herrera-Viedma; F. J. Cabrerizo; I. J. Pérez; M. J. Cobo; S. Alonso; F. Herrera. Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information. Soft Computing Applications for Group Decision-making and Consensus Modeling 2011, 167 -186.

AMA Style

E. Herrera-Viedma, F. J. Cabrerizo, I. J. Pérez, M. J. Cobo, S. Alonso, F. Herrera. Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information. Soft Computing Applications for Group Decision-making and Consensus Modeling. 2011; ():167-186.

Chicago/Turabian Style

E. Herrera-Viedma; F. J. Cabrerizo; I. J. Pérez; M. J. Cobo; S. Alonso; F. Herrera. 2011. "Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information." Soft Computing Applications for Group Decision-making and Consensus Modeling , no. : 167-186.

Journal article
Published: 31 January 2010 in Journal of Informetrics
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Bibliometric studies at the micro level are increasingly requested by science managers and policy makers to support research decisions. Different measures and indices have been developed at this level of analysis. One type of indices, such as the h-index and g-index, describe the most productive core of the output of a researcher and inform about the number of papers in the core. Other indices, such as the a-index and m-index, depict the impact of the papers in the core. In this paper, we present a new index which relates two different dimensions in a researcher’s productive core: a quantitative one (number of papers) and a qualitative one (impact of papers). In such a way, we could obtain a more balanced and global view of the scientific production of researchers. This new index, called q2-index, is based on the geometric mean of h-index and the median number of citations received by papers in the h-core, i.e., the m-index, which allows us to combine the advantages of both kind of indices.

ACS Style

F.J. Cabrerizo; S. Alonso; E. Herrera-Viedma; F. Herrera. q2-Index: Quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core. Journal of Informetrics 2010, 4, 23 -28.

AMA Style

F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma, F. Herrera. q2-Index: Quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core. Journal of Informetrics. 2010; 4 (1):23-28.

Chicago/Turabian Style

F.J. Cabrerizo; S. Alonso; E. Herrera-Viedma; F. Herrera. 2010. "q2-Index: Quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core." Journal of Informetrics 4, no. 1: 23-28.

Review article
Published: 31 October 2009 in Journal of Informetrics
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The h-index and some related bibliometric indices have received a lot of attention from the scientific community in the last few years due to some of their good properties (easiness of computation, balance between quantity of publications and their impact and so on). Many different indicators have been developed in order to extend and overcome the drawbacks of the original Hirsch proposal. In this contribution we present a comprehensive review on the h-index and related indicators field. From the initial h-index proposal we study their main advantages, drawbacks and the main applications that we can find in the literature. A description of many of the h-related indices that have been developed along with their main characteristics and some of the works that analyze and compare them are presented. We also review the most up to date standardization studies that allow a fair comparison by means of the h-index among scientists from different research areas and finally, some works that analyze the computation of the h-index and related indices by using different citation databases (ISI Citation Indexes, Google Scholar and Scopus) are introduced.

ACS Style

S. Alonso; F.J. Cabrerizo; E. Herrera-Viedma; F. Herrera. h-Index: A review focused in its variants, computation and standardization for different scientific fields. Journal of Informetrics 2009, 3, 273 -289.

AMA Style

S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera. h-Index: A review focused in its variants, computation and standardization for different scientific fields. Journal of Informetrics. 2009; 3 (4):273-289.

Chicago/Turabian Style

S. Alonso; F.J. Cabrerizo; E. Herrera-Viedma; F. Herrera. 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields." Journal of Informetrics 3, no. 4: 273-289.

Journal article
Published: 17 September 2009 in Fuzzy Optimization and Decision Making
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Computing with Words (CW) methodology has been used in several different environments to narrow the differences between human reasoning and computing. As Decision Making is a typical human mental process, it seems natural to apply the CW methodology in order to create and enrich decision models in which the information that is provided and manipulated has a qualitative nature. In this paper we make a review of the developments of CW in decision making. We begin with an overview of the CW methodology and we explore different linguistic computational models that have been applied to the decision making field. Then we present an historical perspective of CW in decision making by examining the pioneer papers in the field along with its most recent applications. Finally, some current trends, open questions and prospects in the topic are pointed out.

ACS Style

F. Herrera; S. Alonso; F. Chiclana; E. Herrera-Viedma. Computing with words in decision making: foundations, trends and prospects. Fuzzy Optimization and Decision Making 2009, 8, 337 -364.

AMA Style

F. Herrera, S. Alonso, F. Chiclana, E. Herrera-Viedma. Computing with words in decision making: foundations, trends and prospects. Fuzzy Optimization and Decision Making. 2009; 8 (4):337-364.

Chicago/Turabian Style

F. Herrera; S. Alonso; F. Chiclana; E. Herrera-Viedma. 2009. "Computing with words in decision making: foundations, trends and prospects." Fuzzy Optimization and Decision Making 8, no. 4: 337-364.

Article
Published: 25 June 2009 in Scientometrics
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To be able to measure the scientific output of researchers is an increasingly important task to support research assessment decisions. To do so, we can find several different measures and indices in the literature. Recently, the h-index, introduced by Hirsch in 2005, has got a lot of attention from the scientific community for its good properties to measure the scientific production of researchers. Additionally, several different indicators, for example, the g-index, have been developed to try to improve the possible drawbacks of the h-index. In this paper we present a new index, called hg-index, to characterize the scientific output of researchers which is based on both h-index and g-index to try to keep the advantages of both measures as well as to minimize their disadvantages.

ACS Style

S. Alonso; Francisco Javier Cabrerizo; Enrique Herrera-Viedma; Francisco Herrera. hg-index: a new index to characterize the scientific output of researchers based on the h- and g-indices. Scientometrics 2009, 82, 391 -400.

AMA Style

S. Alonso, Francisco Javier Cabrerizo, Enrique Herrera-Viedma, Francisco Herrera. hg-index: a new index to characterize the scientific output of researchers based on the h- and g-indices. Scientometrics. 2009; 82 (2):391-400.

Chicago/Turabian Style

S. Alonso; Francisco Javier Cabrerizo; Enrique Herrera-Viedma; Francisco Herrera. 2009. "hg-index: a new index to characterize the scientific output of researchers based on the h- and g-indices." Scientometrics 82, no. 2: 391-400.