Tipo de publicación: book-chapter

Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation

Combining rule weight learning and rule selection to obtain simpler and more accurate linguistic fuzzy models

Visualizing consensus in group decision making situations

Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes

Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool

Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System

A selection process to deal with incomplete fuzzy preference relations in a 2-tuple fuzzy linguistic approach

Design of Experiments in Computational Intelligence: On the Use of Statistical Inference

A multi-objective evolutionary algorithm for rule selection and tuning on fuzzy rule-based systems

A study on the use of statistical tests for experimentation with neural networks