Coordinador en Inteligencia Computacional

Antonio González Muñoz

Coordinación de Áreas, Highly Cited Researcher

Universidad de Granada

Publicaciones

QChi: A Faster Classification Algorithm Based on Wang–Mendel Algorithm

IEEE Transactions on Fuzzy Systems

Efficient inference models for classification problems with a high number of fuzzy rules

Applied Soft Computing

A preliminary study to apply the Quine McCluskey algorithm for fuzzy rule base minimization

2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

A software implementation of the fuzzy rule learning algorithm NSLVOrd for ordinal classification into KEEL

2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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

Applied Soft Computing

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

Cognitive Computation

Reasoning Methods in Fuzzy Rule-based Classification Systems for Big Data Problems

Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,

Incremental fuzzy learning algorithms in big data problems: A study on the size of learning subsets

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Extensions of the DECO3R algorithm for generating compact and cooperating fuzzy rule-based classification systems

2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

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

Ordinal classification based on the sequential covering strategy

International Journal of Approximate Reasoning

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

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society For Fuzzy Logic and Technology

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

Ieee Transactions on Knowledge and Data Engineering

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

International Journal of Approximate Reasoning

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

Pattern Recognition

Using a sequential covering strategy for discovering fuzzy rules incrementally

IEEE International Conference on Fuzzy Systems

A feature construction approach for genetic iterative rule learning algorithm

Journal of Computer and System Sciences

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

Information Sciences

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

International Journal of Computational Intelligence Systems

A genetic tuned fuzzy classifier based on prototypes

8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Advances in Intelligent Systems Research

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

IEEE International Conference on Fuzzy Systems

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

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

Knowledge-Based Systems

A FILTER PROPOSAL FOR INCLUDING FEATURE CONSTRUCTION IN A GENETIC LEARNING ALGORITHM
An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules
A two-step approach of feature construction for a genetic learning algorithm

IEEE International Conference on Fuzzy Systems

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

2011 11th International Conference on Intelligent Systems Design and Applications

Combining instance selection methods based on data characterization: An approach to increase their effectiveness
A genetic learning of fuzzy relational rules

2010 IEEE World Congress on Computational Intelligence, WCCI 2010

A knowledge engineering methodology for rapid prototyping of planning applications

Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23

An extension of the genetic iterative approach for learning rule subsets

2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2010

Fuzzy certainty on fuzzy values

Control and Cybernetics

Improving the genetic algorithm of SLAVE.

Mathware and Soft Computing

A multiple object tracking approach that combines colour and depth information using a confidence measure

Pattern Recognition Letters

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

Journal of Physical Agents

Handling fuzzy temporal constraints in a planning environment

Annals of Operations Research

A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems
AUTHORS: Alcala, R, Casillas, J, Cordon, O, Gonzalez, A, Herrera, F

Engineering Applications of Artificial Intelligence

Integration of fuzzy scheduling into a planning framework

Planning, Scheduling and Constraint Satisfaction: From Theory to Practice

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

AI Communications

A fuzzy perceptual model for map building and navigation of mobile robots

Integrated Computer-Aided Engineering

Door-detection using computer vision and fuzzy logic

WSEAS Transaction on Systems

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

Applied Intelligence

Multicriteria Genetic Tuning for the Optimization and Control of HVAC Systems

Applied Decision Support with Soft Computing pp 308-345

Some issues about the representation and exploitation of imprecise temporal knowledge for an AI planner

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Integrating fuzzy topological maps and fuzzy geometric maps for behavior-based robots
Uncertain fuzzy values still in the framework of first-order logic

International Journal of Intelligent Systems

An experimental study about the search mechanism in the SLAVE learning algorithm: Hill-climbing methods versus genetic algorithms
Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm
Mixing expressiveness and efficiency in a manufacturing planner

Journal of Experimental and Theoretical Artificial Intelligence

Practical teaching of artificial intelligence – A european perspective

IEE Colloquium (Digest)

Selection of relevant features in a fuzzy genetic learning algorithm
A three-level knowledge-based system for the generation of live and safe Petri nets for manufacturing systems

Journal of Intelligent Manufacturing

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

Artificial Intelligence in Engineering

Fuzzy behaviors for mobile robot navigation: design, coordination and fusion

International Journal of Approximate Reasoning

Intelligent planning of Grafcet charts

Robotics and Computer-Integrated Manufacturing

A study about the inclusion of linguistic hedges in a fuzzy rule learning algorithm
Dealing with uncertainty and imprecision by means of fuzzy numbers
Encouraging Cooperation in the Genetic Iterative Rule Learning Approach for Qualitative Modeling

Computing with Words in Information/Intelligent Systems 2: Applications

Knowledge-based tool for the automated synthesis of Petri nets for manufacturing systems

IEEE Symposium on Emerging Technologies and Factory Automation, ETFA

SLAVE: A genetic learning system based on an iterative approach
A fuzzy safe follow wall behaviour fusing simpler fuzzy behaviours
A fuzzy theory refinement algorithm
A nonlinear planner for solving sequential control problems in manufacturing systems
Completeness and consistency conditions for learning fuzzy rules
Distribution network optimization: Finding the most economic solution by using genetic algorithms
Using information measures for determining the relevance of the predictive variables in learning problems

IEEE International Conference on Fuzzy Systems

A LEARNING METHODOLOGY IN UNCERTAIN AND IMPRECISE ENVIRONMENTS
Structural learning of fuzzy rules from noised examples

IEEE International Conference on Fuzzy Systems

A FREQUENCY MODEL IN A FUZZY ENVIRONMENT
FURTHER CONTRIBUTIONS TO THE STUDY OF THE AVERAGE VALUE FOR RANKING FUZZY NUMBERS
A FUZZY INFERENCE MODEL-BASED ON AN UNCERTAINTY FORWARD PROPAGATION APPROACH
AN INDUCTIVE LEARNING PROCEDURE TO IDENTIFY FUZZY-SYSTEMS
DOMINANCE RELATIONS ON FUZZY NUMBERS
On the Bayesian Approach to Learning

Gritzmann P., Hettich R., Horst R., Sachs E. (eds) Operations Research ’91. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-48417-9_149

ON THE USE OF THE RANKING FUNCTION-APPROACH TO SOLVE FUZZY MATRIX GAMES IN A DIRECT WAY
Some Results on the Automatic Construction of Bayesian Networks

Gritzmann P., Hettich R., Horst R., Sachs E. (eds) Operations Research ’91. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-48417-9_150

A DISCRETE METHOD FOR STUDYING INDIFFERENCE AND ORDER RELATIONS BETWEEN FUZZY NUMBERS
AN INTERVAL-BASED APPROACH FOR WORKING WITH FUZZY NUMBERS
FUZZY MATRIX GAMES CONSIDERING THE CRITERIA OF THE PLAYERS
A STUDY OF THE RANKING FUNCTION-APPROACH THROUGH MEAN-VALUES
Dominance and Indifference Relations on Fuzzy Numbers

In: Janko W.H., Roubens M., Zimmermann HJ. (eds) Progress in Fuzzy Sets and Systems. Theory and Decision Library (Series D: System Theory, Knowledge Engineering and Problem Solving), vol 5. Springer, Dordrecht.

A subjective approach for ranking fuzzy numbers

Fuzzy Sets and Systems

Convergence properties of the monotone expectation and its application to the extension of fuzzy measures

Fuzzy Sets and Systems