Raúl
Pérez Rodríguez
Publicaciones en las que colabora con Raúl Pérez Rodríguez (12)
2019
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An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm
Applied Soft Computing Journal, Vol. 78, pp. 13-28
2016
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On the use of an incremental approach to learn fuzzy classification rules for big data problems
2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
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Ordinal classification based on the sequential covering strategy
International Journal of Approximate Reasoning, Vol. 76, pp. 96-110
2015
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An interpretability improvement for fuzzy rule bases obtained by the iterative rule learning approach
International Journal of Approximate Reasoning, Vol. 67, pp. 37-58
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Using a sequential covering strategy for discovering fuzzy rules incrementally
IEEE International Conference on Fuzzy Systems
2014
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A feature construction approach for genetic iterative rule learning algorithm
Journal of Computer and System Sciences
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Overview of the SLAVE learning algorithm: A review of its evolution and prospects
International Journal of Computational Intelligence Systems, Vol. 7, Núm. 6, pp. 1194-1221
2013
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A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm
IEEE International Conference on Fuzzy Systems
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An empirical study about the behavior of a genetic learning algorithm on searching spaces pruned by a completeness condition
Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
2012
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A filter proposal for including feature construction in a genetic learning algorithm
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 20, Núm. SUPPL. 2, pp. 31-49
2011
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A two-step approach of feature construction for a genetic learning algorithm
IEEE International Conference on Fuzzy Systems
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An iterative strategy for feature construction on a fuzzy rule-based learning algorithm
International Conference on Intelligent Systems Design and Applications, ISDA