A. G. Muñoz

发表

A learning methodology in uncertain and imprecise environments

Antonio González Muñoz, A. G. Muñoz, 1995, Int. J. Intell. Syst..

A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm

David García, Antonio González Muñoz, Raúl Pérez, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Mixing expressiveness and efficiency in a manufacturing planner

Antonio González Muñoz, Juan Fernández-Olivares, Luis A. Castillo, 2001, J. Exp. Theor. Artif. Intell..

Automatic generation of control sequences for manufacturing systems based on partial order planning techniques

Antonio González Muñoz, Juan Fernández-Olivares, Luis A. Castillo, 2000, Artif. Intell. Eng..

SCIS: Combining Instance Selection Methods to Increase Their Effectiveness over a Wide Range of Domains

Antonio González Muñoz, Raúl Pérez, Yoel Caises, 2009, IDEAL.

SIADEX: An interactive knowledge-based planner for decision support in forest fire fighting

Antonio González Muñoz, Marc de la Asunción, Juan Fernández-Olivares, 2005, AI Commun..

A Fuzzy Perceptual Model for Ultrasound Sensors Applied to Intelligent Navigation of Mobile Robots

Antonio González Muñoz, Eugenio Aguirre, A. G. Muñoz, 2003, Applied Intelligence.

Integrating fuzzy topological maps and fuzzy geometric maps for behavior‐based robots

Antonio González Muñoz, Eugenio Aguirre, A. G. Muñoz, 2002, Int. J. Intell. 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..

Handling fuzzy temporal constraints in a planning environment

Antonio González Muñoz, Marc de la Asunción, Juan Fernández-Olivares, 2007, Ann. Oper. Res..

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..

Dealing with uncertainty and imprecision by means of fuzzy numbers

Olga Pons, Antonio González Muñoz, M. Amparo Vila, 1999, Int. J. Approx. Reason..

Uncertain fuzzy values still in the framework of first‐order logic

Olga Pons, Antonio González Muñoz, Juan C. Cubero, 2002, Int. J. Intell. Syst..

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..

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..

Multi-stage genetic fuzzy systems based on the iterative rule learning approach

Antonio González Muñoz, Francisco Herrera Triguero, F. Triguero, 1997 .

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..

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..

A hybrid hierarchical operator-based planning approach for the design of control programs

Antonio González Muñoz, Juan Fernández-Olivares, Luis A. Castillo, 2000, PuK.

A Knowledge Engineering Methodology for Rapid Prototyping of Planning Applications

Antonio González Muñoz, Juan Fernández-Olivares, Luis A. Castillo, 2010, FLAIRS.

An interpretability improvement for fuzzy rule bases obtained by the iterative rule learning approach

Antonio González Muñoz, Raúl Pérez, Juan Carlos Gámez, 2015, Int. J. Approx. Reason..

A Fuzzy Perceptual Model for Ultrasound Sensors Applied to Intelligent Navigation of Mobile Robots

A. G. Muñoz, E. Aguirre, 2003, Applied Intelligence.

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..

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).

A fuzzy system for detection of interaction demanding and nodding assent based on stereo vision

Antonio González Muñoz, Rafael Muñoz Salinas, Eugenio Aguirre Molina, 2007 .