Antonio González
Antonio González
Professor of Computer Science and Artificial Intelligence, Granada University
Verified email at decsai.ugr.es
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
4301989
SLAVE: A genetic learning system based on an iterative approach
A Gonzblez, R Pérez
IEEE Transactions on Fuzzy Systems 7 (2), 176-191, 1999
3401999
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
1962001
Completeness and consistency conditions for learning fuzzy rules
A Gonzalez, R Perez
Fuzzy Sets and Systems 96 (1), 37-51, 1998
1791998
A study of the ranking function approach through mean values
A Gonzalez
Fuzzy Sets and Systems 35 (1), 29-41, 1990
1581990
Fuzzy behaviors for mobile robot navigation: Design, coordination and fusion
E Aguirre, A González
International Journal of Approximate Reasoning 25 (3), 255-289, 2000
1552000
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems
R Alcalá, J Casillas, O Cordón, A González, F Herrera
Engineering Applications of Artificial Intelligence 18 (3), 279-296, 2005
1522005
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
1102001
Multi-stage genetic fuzzy systems based on the iterative rule learning approach
A González, F Herrera
Mathware & soft computing 4 (3), 233-249, 1997
108*1997
An inductive learning procedure to identify fuzzy systems
M Delgado, A Gonzalez
Fuzzy Sets and Systems 55 (2), 121-132, 1993
891993
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
702005
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
692015
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
681994
A learning methodology in uncertain and imprecise environments
A Gonzalez
international Journal of intelligent Systems 10 (4), 357-371, 1995
651995
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
551992
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
541998
Improving the genetic algorithm of SLAVE
A González, R Pérez
Mathware & Soft Computing 16 (1), 59-70, 2009
482009
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
432014
A learning system of fuzzy control rules based on genetic algorithms
A Gonzalez, R Perez
Genetic algorithms and soft computing, Physica-Verlag, 202-225, 1996
401996
Further contributions to the study of the average value for ranking fuzzy numbers
L Campos, A Gonzalez
International Journal of Approximate Reasoning 10 (2), 135-153, 1994
401994
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