A new method for time series forecasting by fuzzy inference systems based on non‐uniform attractor embedding and genetic algorithms is proposed in this paper. A near optimal set of time lags is identified by genetic algorithms. The parameter characterizing the spreading of the embedded attractor in the delay coordinate space is used as a fitness function for every set of time lags.

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