A multiobjective genetic algorithm for feature selection and data base learning in fuzzy-rule based classification systems
Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets
On the use of Measures of Separability of Classes to characterise the Domains of Competence of a Fuzzy Rule Based Classification System
Generating Single Granularity-Based Fuzzy Classification Rules for Multiobjective Genetic Fuzzy Rule Selection
A Genetic Learning of the Fuzzy Rule-Based Classification System Granularity for highly Imbalanced Data-Sets
