Learning TSK-0 linguistic fuzzy rules by means of local search algorithms
Local search methods for learning tsk-0 fuzzy-rule-based systems. Aim at preventing overfitting of the state of the art methods (Least Squares) and improves upon other (Indictive Method). The method based on COR approach is very efficient, and allows robust elimination of rules. Improves the state of the art methods. Improves the performance of the Genetic Algorithm in both precision and number of rules.
local search linguistic fuzzy modeling evolutionary fuzzy systems machine learning metaheuristics-based machine learning