Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning
Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems
Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations
A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure
