Raúl Pérez

发表

Encouraging Cooperation in the Genetic Iterative Rule Learning Approach for Qualitative Modeling

Francisco Herrera, Oscar Cordón, Antonio González, 1999 .

Completeness and consistency conditions for learning fuzzy rules

Raúl Pérez, Antonio González, Antonio González, 1998, Fuzzy Sets Syst..

SLAVE: a genetic learning system based on an iterative approach

Antonio González Muñoz, Raúl Pérez, A. G. Muñoz, 1999, IEEE Trans. Fuzzy Syst..

Combining instance selection methods based on data characterization: An approach to increase their effectiveness

Antonio González Muñoz, Raúl Pérez, Yoel Caises, 2011, Inf. Sci..

Three new instance selection methods based on local sets: A comparative study with several approaches from a bi-objective perspective

Antonio González Muñoz, Raúl Pérez, Enrique Leyva, 2015, Pattern Recognit..

An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm

David García, Raúl Pérez, Juan Carlos Gámez, 2019, Appl. Soft Comput..

Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms

Rafael Alcalá, Jorge Casillas, Oscar Cordón, 2003, Applied Intelligence.

A feature construction approach for genetic iterative rule learning algorithm

David García, Antonio González Muñoz, Raúl Pérez, 2014, J. Comput. Syst. Sci..

An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules

Antonio González Muñoz, Raúl Pérez, Yoel Caises, 2012, Int. J. Comput. Intell. Syst..

An iterative strategy for feature construction on a fuzzy rule-based learning algorithm

David García, Antonio González Muñoz, Raúl Pérez, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

A two-step approach of feature construction for a genetic learning algorithm

David García, Antonio González Muñoz, Raúl Pérez, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

A genetic learning of fuzzy relational rules

Antonio González Muñoz, Raúl Pérez, Yoel Caises, 2010, International Conference on Fuzzy Systems.

Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm

Antonio González Muñoz, Raúl Pérez, Luis A. Castillo, 2001, Fuzzy Sets Syst..

Multicriteria Genetic Tuning for the Optimization and Control of HVAC Systems

Rafael Alcalá, Jorge Casillas, Oscar Cordón, 2003 .

A Fuzzy Rule-Based Feature Construction Approach Applied to Remotely Sensed Imagery

David García, Antonio González Muñoz, Raúl Pérez, 2015, IFSA-EUSFLAT.

An inductive approach for learning fuzzy relation rules

Antonio González Muñoz, Raúl Pérez, Eugenio Aguirre, 2003, EUSFLAT Conf..

A fuzzy theory refinement algorithm

Antonio González Muñoz, Raúl Pérez, A. G. Muñoz, 1998, Int. J. Approx. Reason..

A Set of Complexity Measures Designed for Applying Meta-Learning to Instance Selection

Antonio González Muñoz, Raúl Pérez, Enrique Leyva, 2015, IEEE Transactions on Knowledge and Data Engineering.

On the use of meta-learning for instance selection: An architecture and an experimental study

Antonio González Muñoz, Raúl Pérez, Yoel Caises, 2014, Inf. Sci..

A Genetic Tuned Fuzzy Classifier Based on Prototypes

Antonio González Muñoz, Raúl Pérez, Enrique Leyva, 2013, EUSFLAT Conf..

Knowledge-based instance selection: A compromise between efficiency and versatility

Antonio González Muñoz, Raúl Pérez, Enrique Leyva, 2013, Knowl. Based Syst..

A Study About the Inclusion of Linguistic Hedges in a Fuzzy Rule Learning Algorithm

Antonio González Muñoz, Raúl Pérez, A. G. Muñoz, 1999, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Extensions of the DECO3R algorithm for generating compact and cooperating Fuzzy Rule-based Classification Systems

Raúl Pérez, Ioannis B. Theocharis, Nikolaos L. Tsakiridis, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

An experimental study about the search mechanism in the SLAVE learning algorithm: Hill-climbing methods versus genetic algorithms

Antonio González Muñoz, Raúl Pérez, A. G. Muñoz, 2001, Inf. Sci..

An Incremental Approach to Address Big Data Classification Problems Using Cognitive Models

Antonio González, R. Romero-Záliz, Raúl Pérez, 2019, Cognitive Computation.

Using Inductive Rule Learning Techniques to Learn Planning Domains

Raúl Pérez, José Á. Segura-Muros, Juan Fernández-Olivares, 2018, IPMU.

Selection of relevant features in a fuzzy genetic learning algorithm

A. G. Muñoz, Raúl Pérez, 2001, IEEE Trans. Syst. Man Cybern. Part B.

Overview of the SLAVE learning algorithm: A review of its evolution and prospects

David García, Antonio González Muñoz, Raúl Pérez, 2014, Int. J. Comput. Intell. Syst..

A FILTER PROPOSAL FOR INCLUDING FEATURE CONSTRUCTION IN A GENETIC LEARNING ALGORITHM

Antonio González, David Hidalgo García, Antonio González, 2012 .

An extension of the Genetic Iterative Approach for learning rule subsets

Antonio González Muñoz, Raúl Pérez, Yoel Caises, 2010, 2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).