Fuzzy systems modeling with participatory search algorithm

Participatory search is a population-based algorithm derived from the participatory learning paradigm. The algorithm accounts for the fact that the compatibility between individuals of the current population and the combination of compatibles, help to improve the value of an objective function during the search for an optimum. This paper focuses on the use of participatory search as a tool to develop fuzzy linguistic rule-based models. The performance of the models produced by participatory search algorithm is compared with a state of a start of the art genetic fuzzy system approach. Experimental results suggest that the participatory search algorithm with arithmetic-like recombination performs best.