International Journal of Information Science

International Journal of Information Science is a peer-reviewed journal that publishes original papers of high scientific value in all areas of information science. The journal publishes high-quality, refereed articles. It emphasizes a balanced coverage of both theory and practice. It fully acknowledges and vividly promotes a breadth of the discipline of information sciences.

Maria Jose Gacto

Editorial Board Member of International Journal of Information Science

Assistant Professor, Department of Computer Science, School of Computing, University of Jaen, Spain

Research Areas

Fuzzy Rule-Based Systems , Fuzzy and Linguistic Modeling , Genetic Fuzzy Systems and Particularly Multi-Objective Genetic Fuzzy Systems, Complexity and Semantic Interpretability

Experience

2008-presentAssistant Professor, Dept. Computer Science, School of Computing, University of Jaén, Spain

Publications: Journals

[1]  R. Alcalá, M.J. Gacto, F. Herrera, A Fast and Scalable Multi-Objective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2011.2131657, in press (2011).
[2]  F. Chávez, F. Fernández, M.J. Gacto, R. Alcalá, Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems. International Journal of Computational Intelligence Systems, in press (2011).
[3]  Cristobal J. Carmona, Pedro González, María Jose Gacto, María J. del Jesús, Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD. International Journal of Computational Intelligence Systems, in press (2011).
[4]  A. Palacios, M.J. Gacto, J. Alcalá-Fdez, Mining Fuzzy Association Rules from Low Quality Data. Soft Computing, in press (2011).
[5]  M.J. Gacto, R. Alcalá, F. Herrera, Interpretability of Linguistic Fuzzy Rule-Based Systems: An Overview of Interpretability Measures. Information Sciences, doi: 10.1016/j.ins.2011.02.021, in press (2011).
[6]  M.J. Gacto, R. Alcalá, F. Herrera, A Multi-Objective Evolutionary Algorithm for an Effective Tuning of Fuzzy Logic Controllers in Heating, Ventilating and Air Conditioning Systems. Applied Intelligence, doi: 10.1007/s10489-010-0264-x, in press (2011).
[7]  M.J. Gacto, R. Alcalá, F. Herrera, Integration of an Index to Preserve the Semantic Interpretability in the Multi-Objective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems. IEEE Transactions on Fuzzy Systems 18:3 (2010) 515-531, doi: 10.1109/TFUZZ.2010.2041008.
[8]  R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Improving Fuzzy Logic Controllers Obtained by Experts: A Case Study in HVAC Systems. Applied Intelligence 31:1 (2009) 15-30, doi:10.1007/s10489-007-0107-6.
[9]  M.J. Gacto, R. Alcalá, F. Herrera, Adaptation and Application of Multi-Objective Evolutionary Algorithms for Rule Reduction and Parameter Tuning of Fuzzy Rule-Based Systems. Soft Computing 13:5 (2009) 419-436, doi:10.1007/s00500-008-0359-z.
[10]  J. Alcalá-Fdez, R. Alcalá, M.J. Gacto, F. Herrera, Learning the Membership Function Contexts for Mining Fuzzy Association Rules by Using Genetic Algorithms. Fuzzy Sets and Systems 160:7 (2009) 905-921 doi:10.1016/j.fss.2008.05.012.
[11]  R. Alcalá, M.J. Gacto, F. Herrera, J. Alcalá-Fdez, A Multi-objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15:5 (2007) 539–557, doi:10.1142/S0218488507004868.
[12]  R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Rule Base Reduction and Genetic Tuning of Fuzzy Systems based on the Linguistic 3-Tuples Representation. Soft Computing 11:5 (2007) 401-419, doi:10.1007/s00500-006-0106-2.

Publications: Conferences/Workshops/Symposiums

[1]  M.J. Gacto, R. Alcalá, F. Herrera, A double axis classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems. 9th International Workshop on Fuzzy Logic and Applications (WILF 2011), in press (2011).
[2]  M.J. Gacto, R. Alcalá, F. Herrera, Evolutionary Multi-Objective Algorithm to Effectively Improve the Performance of the Classic Tuning of Fuzzy Logic Controllers for a Heating, Ventilating and Air Conditioning System. 5th International Workshop On Genetic And Evolutionary Fuzzy Systems (GEFS 2011), in press (2011).
[3]  M.J. Gacto, R. Alcalá, F. Herrera, Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm. Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010), NAI 6097, Springer, Córdoba (Spain), pp. 228-238, 1-4 June 2010, ISBN 978-3-642-13024-3.
[4]  M.J. Gacto, R. Alcalá, F. Herrera, Indice de Interpretabilidad Semántica para el Ajuste de Sistemas Basados en Reglas Difusas y Selección de Reglas Mediante un Algoritmo Evolutivo Multi-Objetivo. Proc. of the XV Congreso Espanol sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), pp. 73-78, Huelva (Spain), 3-5 February 2010, ISBN 978-84-92944-02-6.
[5]  M.J. Gacto, R. Alcalá, F. Herrera, Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09), pp. 109-114, Pisa (Italy), November 2009, ISBN 978-0-7695-3872-3.
[6]  M.J. Gacto, R. Alcalá, F. Herrera, A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. In Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), 1146-1151, Lisbon (Portugal), 20-24 July 2009. ISBN 978-989-95079-6-8.
[7]  M.J. Gacto, R. Alcalá, F. Herrera, Algoritmo Genetico Multi-Objetivo Avanzado para el ajuste de un sistema difuso aplicado al Control de Sistemas de Ventilación, Calefacción y Aire Acondicionado. En Actas del Congreso Espanol sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09), pp. 595-602, Málaga (Spain), 11-13 February 2009. ISBN 978-84-691-6813-4.
[8]  M.J. Gacto, R. Alcalá, F. Herrera, Multi-Objective Genetic Fuzzy Systems: On the Necessity of Including Expert Knowledge in the MOEA Design Process. Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008), Malaga (Spain), 1446-1453, 22-28 June 2008.
[9]  M.J. Gacto, R. Alcalá, F. Herrera, An Improved Multi-Objective Genetic Algorithm for Tuning Linguistic Fuzzy Systems. Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008), Malaga (Spain), 1121-1128, 22-28 June 2008.
[10]  J. Alcalá-Fdez, R. Alcalá, M.J. Gacto, F. Herrera, Aprendizaje Evolutivo de los Contextos de las Funciones de Pertenencia para Extraer Reglas de Asociación Difusas. Proceedings of the II Congreso Espanol de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy y Soft Computing, LFSC'2007 (EUSFLAT), Zaragoza (Spain), 25-32, 11-14 September 2007.
[11]  R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. In Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1367-1372, 23-26 July 2007.
[12]  R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. In Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1538-1543, 23-26 July 2007.
[13]  R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Obtención de Sistemas Basados en Reglas Difusas Precisos y Compactos Mediante Algoritmos Geneticos Multiobjetivo. Proceedings of the XIII Congreso Espanol sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 1-6, 20-22 September 2006, ISBN 84-689-9547-9.
[14]  R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Obtaining Compact and Still Accurate Linguistic Fuzzy Rule-Based Systems by Using Multi-Objetive Genetic Algorithms. Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS 2006), Magdeburg (Germany), 53-62, 27-28 September 2006.
[15]  R. Alcalá, J. Alcalá-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera, Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. Proceedings of the 19th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE06), LNCS 4031, Springer-Verlag, Annecy (France), 452-461, 27-30 June 2006. ISSN 0302-9743.
[16]  F.J. Berlanga, M.J. del Jesus, M.J. Gacto, F. Herrera, A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems. Proceedings of the International Conference on Artificial Intelligence and Soft Computing (ICAISC 2006), Zakopane (Poland), Lecture Notes in Computer Science 4029, 182-191, 25-29 June 2006.
[17]  R. Alcalá, J. Alcalá-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera, Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. Modeling Decisions for Artificial Intelligence 2006 (MDAI 2006), Tarragona (Spain), Lecture Notes on Artificial Intelligence 3885, 317-328, 3-5 April 2006. ISSN 0302-9743.
[18]  R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Genetic Lateral and Amplitude Tuning of Membership Functions for Fuzzy Systems. Proceedings of the 2nd International Conference on Machine Intelligence (ACIDCA-ICMI05). Tozeur (Tunisia), 589-595, November 5-7, 2005.
[19]  R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Ajuste Evolutivo Lateral y de Amplitud de etiquetas para Sistemas Basados en Reglas Difusas. Simposio de Inteligencia Computacional (SICO2005), Granada (Spain), 481-488, September 13-16, 2005. ISBN 84-9732-444-7.

Publications: Books/Book Chapters

[1]  R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, On the use of Multiobjective Genetic Algorithms to Improve the Accuracy-Interpretability Trade-Off of Fuzzy Rule-Based Systems. In: Ghosh, A., Dehuri, S., Ghosh, S. (eds.): Multi-objective Evolutionary Algorithms for Knowledge Discovery from Data Bases Vol. 98, Springer Verlag, Heidelberg, Germany, 2008, 91-107. ISBN 978-3-540-77466-2.
[2]  R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Fuzzy Rule Reduction and Tuning of Fuzzy Logic Controllers for a HVAC System. In C. Kahraman (Ed.): Fuzzy Applications in Industrial Engineering, Studies in Fuzziness and Soft Computing Vol. 201, Springer Verlag, Heidelberg, Germany, 2006, 89-117. ISBN 978-3-540-33516-0.