Antonio González

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Raul PerezProfessor of Computer Science and Artificial Intelligence, Universidad de GranadaVerified email at decsai.ugr.es
Luis CastilloFull Professor of Computer Science, University of GranadaVerified email at decsai.ugr.es
Juan Fdez-OlivaresAssociate Professor of Computer Science, University of GranadaVerified email at decsai.ugr.es
Eugenio AguirreAssociate Professor at Department of Computer Science and AI, University of Granada (Spain)Verified email at decsai.ugr.es
Enrique LeyvaUniversidad de GranadaVerified email at decsai.ugr.es
Luis M. de CamposProfessor of Computer Science and Artificial Intelligence, Universidad de Granada, SpainVerified email at decsai.ugr.es
M.A.VilaProfessor of Computer Science University of GranadaVerified email at decsai.ugr.es
Miguel Garcia SilventeDept Computer Science and Artificial Intelligence. University of GranadaVerified email at decsai.ugr.es
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerified email at decsai.ugr.es
Juan Carlos Gámez GranadosUniversity of Córdoba (Spain) UCOVerified email at uco.es
Francisco PalaoCEO, IActiveVerified email at iactiveit.com
Oscar CordónProfessor, IEEE-IFSA Fellow, Natl. Computer Science Award. DaSCI Research Institute & DECSAI, UGRVerified email at decsai.ugr.es
Jorge CasillasFull Professor of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Rafael AlcaláFull Professor of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Rafael Muñoz Salinas (ORCID:0000-0...Full Professor of Computer Science, University of Cordoba, SpainVerified email at uco.es
Rafael MolinaProfessor of Computer Science, University of GranadaVerified email at decsai.ugr.es
Nicolás Pérez de la Blanca CapillaUniversity of GranadaVerified email at ugr.es
M. DelgadoUniversity of GranadaVerified email at ugr.es
José Luis Verdegay (ORCID: 0000-00...Professor Emeritus. University of GranadaVerified email at ugr.es
Juan Luis CastroProfessor of Computer Science and Artificial Intelligence. University of GranadaVerified email at decsai.ugr.es

Antonio González

Professor of Computer Science and Artificial Intelligence, Granada University

Verified email at decsai.ugr.es

Learning algorithms Artificial Intelligence Planning Data mining Big data


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A subjective approach for ranking fuzzy numbers LM de Campos Ibáñez, A Gonzalez Munoz Fuzzy Sets and Systems 29 (2), 145-153, 1989	471	1989
SLAVE: A genetic learning system based on an iterative approach A Gonzblez, R Pérez IEEE Transactions on fuzzy systems 7 (2), 176-191, 1999	360	1999
Selection of relevant features in a fuzzy genetic learning algorithm A González, R Pérez IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 31 …, 2001	206	2001
Completeness and consistency conditions for learning fuzzy rules A Gonzalez, R Perez Fuzzy Sets and Systems 96 (1), 37-51, 1998	191	1998
Fuzzy behaviors for mobile robot navigation: Design, coordination and fusion E Aguirre, A González International Journal of Approximate Reasoning 25 (3), 255-289, 2000	177	2000
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems R Alcala, J Casillas, O Cordon, A Gonzalez, F Herrera Engineering Applications of Artificial Intelligence 18 (3), 279-296, 2005	173	2005
A study of the ranking function approach through mean values A Gonzalez Fuzzy Sets and Systems 35 (1), 29-41, 1990	172	1990
Three new instance selection methods based on local sets: A comparative study with several approaches from a bi-objective perspective E Leyva, A González, R Pérez Pattern Recognition 48 (4), 1523-1537, 2015	126	2015
Multi-stage genetic fuzzy systems based on the iterative rule learning approach A González, F Herrera Mathware & soft computing 4 (3), 233-249, 1997	120*	1997
Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm L Castillo, A González, R Pérez Fuzzy Sets and Systems 120 (2), 309-321, 2001	115	2001
A set of complexity measures designed for applying meta-learning to instance selection E Leyva, A González, R Perez IEEE Transactions on Knowledge and Data Engineering 27 (2), 354-367, 2014	96	2014
An inductive learning procedure to identify fuzzy systems M Delgado, A Gonzalez Fuzzy Sets and Systems 55 (2), 121-132, 1993	92	1993
SIADEX: An interactive knowledge-based planner for decision support in forest fire fighting M de la Asunción, L Castillo, J Fdez-Olivares, Ó García-Pérez, ... AI Communications 18 (4), 257-268, 2005	90	2005
Learning the structure of a fuzzy rule: a genetic approach A Gonzalez, R Perez, JL Verdegay Fuzzy Systems and Artificial Intelligence 3 (1), 57-70, 1994	76	1994
On the use of the ranking function approach to solve fuzzy matrix games in a direct way L Campos, A Gonzalez, MA Vila Fuzzy Sets and Systems 49 (2), 193-203, 1992	70	1992
A learning methodology in uncertain and imprecise environments A Gonzalez international Journal of intelligent Systems 10 (4), 357-371, 1995	63	1995
Improving the genetic algorithm of SLAVE A González, R Pérez Mathware & Soft Computing 16 (1), 59-70, 2009	57	2009
Distribution network optimization: Finding the most economic solution by using genetic algorithms L Castillo, A González European Journal of Operational Research 108 (3), 527-537, 1998	55	1998
Dealing with uncertainty and imprecision by means of fuzzy numbers A Gonzalez, O Pons, MA Vila International journal of approximate reasoning 21 (3), 233-256, 1999	51	1999
Fuzzy matrix games considering the criteria of the players L Campos, A Gonzalez Kybernetes 20 (1), 17-28, 1991	45	1991

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