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Linguistic dynamic systems(LDS)are dynamic processes involving computing with words(CW)for modeling and analysis of complex systems.In this paper,a fuzzy neural network(FNN)structure of LDS was proposed.In addition,an improved nonlinear particle swarm optimization was employed for training FNN.The experiment results on logistics formulation demonstrates the feasibility and the efficiency of this FNN model.
Linguistic dynamic systems (LDS) are dynamic processes involving computing with words (CW) for modeling and analysis of complex systems. This paper, a fuzzy neural network (FNN) structure of LDS was proposed. In addition, an improved nonlinear particle swarm optimization was employed for training FNN. The experiment results on logistics formulation demonstrates the feasibility and the efficiency of this FNN model.